
Bioprinting tiny, functional organs
Researchers have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart.
Researchers have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart.
Researchers have tested a sensor for measuring hydrogen peroxide concentrations near cell membranes. The sensor has the potential to become a tool for new cancer therapies.
The Danes show how e-health can work at the state level. As a healthcare portal, sundhed.dk is a central access point for doctors and patients alike to look at findings, medications, treatment plans or billing.
For the first time, researchers have 3D printed essential quadrupole components for linear accelerators from pure copper.
As part of the “MED²ICIN” lighthouse project, seven Fraunhofer Institutes are presenting the first prototype of a digital patient model.
Electronic skins will play a significant role in monitoring, personalized medicine, prosthetics, and robotics.
AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.
The wafer-thin, feather-light sensor can fit on a fingernail and precisely measures a person’s exposure to UV light from the sun.
A team from the Universitat Politècnica de València (UPV) has developed a new mobile application that facilitates the continuous monitoring of the quality of life of cancer patients.
A series of procedures have shown how surgeons can use computer-generated augmented reality imaging while operating on patients undergoing reconstructive lower limb surgery.
The neural network detects anomalies in medical images more successfully than general-purpose solutions.
A deep learning algorithm picks up molecular pathways and the development of key mutations more accurately than existing methods.
Using VR, the patients felt improvements to their mental health and reported feeling less nervous, anxious, or on edge after the trial.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
AI-based solution FAITH is designed to monitor the mental health status of people who have undergone cancer treatment.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
The Scar Free Foundation has launched a research programme that aims to revolutionise surgeons’ ability to reconstruct nose and ear cartilage in patients affected by facial difference.
Researchers have developed microrobots that can be powered and steered by ultrasound waves.
Johns Hopkins researcher and his team describe a method to measure diagnostic errors from big data could be key to prevent disability and death from misdiagnosis and transform the field of diagnostic quality and safety.
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Researchers tested the effectiveness of specialized hydrogels.
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.
Studying these organoids could help researchers develop and test new treatments for pancreatic cancer.
Researchers have found a way to enhance radiation therapy using novel iodine nanoparticles.
The MasSpec Pen has shown to accurately differentiate healthy and cancerous tissue from banked pancreas samples during surgery.
In surgery, wearable technologies can assist, augment, and provide a means of patient assessment before, during and after surgical procedures.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Realistic mini-lungs, grown in lab dishes, feature all cell types that make up the human organ, allowing for “Phase 0” testing of new treatments for respiratory diseases.
An artificial intelligence blood testing technology was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.
Researchers at Tel Aviv University have printed an entire active and viable glioblastoma tumor using a 3D printer.
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
Scientists have developed a machine learning technology to understand how gene expression regulates an organism's circadian clock.
A study shows that magnetic millirobots can climb slopes, move against fluid flow and precisely deliver substances to neural tissue.
Engineering researchers have developed automation software that aims to cut the time of developing radiation therapy plans down to mere hours.
Using a deep learning algorithm, researchers have developed a way to accurately predict which skin cancers are highly metastatic.
The MasSpec Pen has shown to accurately identify tissues and surgical margins directly in patients and differentiate healthy and cancerous tissue from banked pancreas samples.
Scientists at have shown that diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
To enable the development of wearable devices that possess advanced ultraviolet detection functions, scientists have created a new type of light sensor that is both flexible and highly sensitive.
Bioengineers are using 3D printing and smart biomaterials to create an insulin-producing implant for type 1 diabetes patients.
A tool, based on machine learning methods, that evaluates the potential contribution of all possible mutations in a gene in a given type of tumour to the development and progression of cancer.
An consortium aims to transform the field of prostate cancer care by unlocking the potential of big data and big data analytics.
An organoid on chip platform mimics robustly key features of human pancreas development. This is a stepping stone towards reliable diagnostic solutions for early-stage pancreatic cancer.
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
Researchers have developed a robotic neck brace that may help doctors analyze the impact of cancer treatments on the neck mobility of patients and guide their recovery.
Clinicians are using patient-specific tumor 'organoid' models as a preclinical companion platform to better evaluate immunotherapy treatment for appendiceal cancer.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
Being immersed in a stunning 'virtual' Icelandic landscape can reduce the pain caused by uncomfortable medical procedures.
Artificial intelligence can recognise the biological activity of natural products in a targeted manner.
Engineers have developed a sweat-proof “smart skin” — a conformable, sensor-embedded sticky patch that reliably monitors a person’s health.
Researchers have developed smart wound dressings with built-in nanosensors that glow to alert patients when a wound is not healing properly.
New research could help surgeons perform liver resections with greater accuracy and deliver improved patient outcomes.
Researchers have used graphene to detect the SARS-CoV-2 virus in laboratory experiments. It could be a breakthrough in coronavirus detection, with potential applications in the fight against COVID-19 and its variants.
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
A 3D printer that rapidly produces large batches of custom biological tissues could help make drug development faster and less costly.
Researchers have developed a holographic technique that can rapidly reconstruct microscopic images of samples with up to 50-fold acceleration compared to existing methods.
Digital twins enable customized medical therapies. Researchers have modeled several hundred avatars based on real people and treated them experimentally.
Researchers discovered that AI models have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
Progressive Mechanoporation makes it possible to mechanically disrupt the membranes of cells for a short time period and let drugs or genes inside cells.
Scientists at Utrecht University have published a first consensus on what is and what is not an organoid.
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.
Researchers found that patients participating in VR sessions experienced reduced levels of anxiety and depression.
Researchers are developing a microneedle patch that delivers antibiotics directly into the affected skin area.
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
A new 3D printing technique that extends the possibilities of lateral flow testing. With the printing technique, advanced diagnostic tests can be produced that are quick, cheap, and easy to use.
Researchers suggest using microneedles for immunotherapy due to the high abundance of immune cells under the skin. The aim is to vaccinate or treat different diseases with minimal invasiveness.
Researchers have used 3D bioprinting technology to create custom-shaped cartilage. They aim to make it easier for surgeons to safely restore the features of skin cancer patients living with nasal cartilage defects after surgery.
Scientists have developed a new generation of microneedles technology which allows the intradermal delivery of living cells in a minimally invasive manner.
Scientists have found that a simple device can reduce swelling after kidney transplantation. Clinical trial shows shortened hospital stay for patients and reduced surgical site infections by almost 60 percent.
Researchers have experimentally demonstrated a novel cancer diagnosis technique based on the scattering of circularly polarized light.
A new VR platform enables the display of huge amounts of data. This can be helpful, for example, when examining rare genetic defects.
To reduce tissue injury side effects from radiation therapy, researchers have developed 3D-printed gastrointestinal radioprotective devices that can be generated from patient CT scans.
Modern medicine needs better quality samples than traditional biopsy needles can provide, ultrasonically oscillating needles can improve treatment and reduce discomfort.
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
EPFL spin-off Readily3D has developed a novel system that can print biological tissue in just 30 seconds.
Scientists have figured out how to modify CRISPR’s basic architecture to extend its reach beyond the genome and into what’s known as the epigenome.
Artificial intelligence could help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body.
Engineers have created a tiny wireless implant that can provide real-time measurements of tissue oxygen levels deep underneath the skin.
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
Scientists have developed AI-powered nanosensors that let researchers track various kinds of biological molecules without disturbing them.
Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer.
Artificial Intelligence is now capable of generating novel, functionally active proteins.
Wearable fitness trackers and step counters help people who are overweight/obese and/or who have weight-related health conditions to shed the pounds.
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
According to researchers at Indiana University, digital twins could lead to more proactive and personalized medicine.
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
We spoke with Prof. Dominic Zerulla, whose company PEARlabs is developing an imaging technique that sets out to push the boundaries once more – by looking at in-vivo nano-scale processes in motion.
Researchers have developed a structurally representative liver-on-a-chip model which mimics the full progression sequence of NAFLD.
Researchers have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence.
Using AI and supercomputers, researchers have discovered reoccurring patterns and combinations of the four molecular building blocks A, C, G and T.
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Covestro has developed a concept for wearable smart patches in cooperation with its partner accensors.
Researchers have now developed and optimised a process for the isolation and purification of magnetic nanoparticles from bacterial cells.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
By using 3D aerosol jet-printing to put perovskites on graphene, scientists have made X-ray detectors with record sensitivity that can greatly improve the efficiency and reduce the cost.
Researchers have developed a minuscule robot that could revolutionize surgical procedures for treating prostate cancer.
World-first 3D printed oesophageal stents developed by the University of South Australia could revolutionize the delivery of chemotherapy drugs.
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
Researchers have successfully designed and tested a system for rapid testing of large numbers of potential immunotherapy drugs.
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
3D printers may one day become a permanent fixture of the operating theatre after scientists showed they could print bone-like structures containing living cells.
Researchers have developed a new method to better understand how nanomedicines interact with patients' biomolecules.
Successful precision cancer diagnosis through an AI analysis of multiple factors of prostate cancer. Potential application of the precise diagnoses of other cancers by utilizing a urine test.
Researchers have used lasers and molecular tethers to create perfectly patterned platforms for tissue engineering.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.
An advanced nanomaterial-based biosensing platform detects antibodies specific to SARS-CoV-2 within seconds.
Researchers have achieved promising results with a new cancer therapy using focused ultrasound (FUS) and ionizing radiation.
Researchers have developed a new range of nanomaterial strain sensors that are 10 times more sensitive when measuring minute movements, compared to existing technology.
Research has shown how microbubbles carrying powerful cancer drugs can be guided to the site of a tumour using antibodies.
An AI platform derives an optimal combination of available therapies against SARS-CoV-2 - the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
Researchers are developing solutions designed to enable the analysis of breath gas to assist with the diagnosis of disease.
Researchers have shown that graphene quantum dots – a form of graphene with applications in both diagnostics and therapy – are biodegradable by two enzymes found in the human body.
The world’s first bioactive plant-based nanocellulose hydrogel supports organoid growth and helps reduce the costs of studies into cancer and COVID-19.
Researchers aim to better explain the way plasmas interact with biological materials to help pave the way for plasma use in wound healing and cancer therapy.
A new approach uses a nanosensor to speed up detection of trace amounts of biomarkers for early-disease diagnosis, while retaining high levels of sensitivity.
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Why do people learn new skills at different speeds? A medical training aid is addressing this question by blending sensory technology with psychological insight.
Researchers have produced biodegradable stents with esophageal-derived bioink to directly treat radiation esophagitis.
With the advent of pharmacogenomics, machine learning research is well underway to predict patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.
Researchers have developed a high-power, portable version of a device called a quantum cascade laser, which can generate terahertz radiation outside of a laboratory setting.
A dual-organ system enables the measurement of cardiac toxicity arising from breast cancer chemotherapy.
Researchers have developed AI technology that offers a glimpse of the future of precision medicine, and unprecedented predictive power to clinicians caring for individuals with the life-limiting condition.
Virtual reality software which allows researchers to 'walk' inside and analyse individual cells could be used to develop new treatments for disease.
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
Researchers have 3D printed unique fluid channels at the micron scale that could automate production of diagnostics, sensors, and assays used for a variety of medical tests and other applications.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Researchers have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Scientists have invented an optical platform that will likely become the new standard in optical biointerfaces.
Researchers have found a way to send tiny, soft robots into humans, potentially opening the door for less invasive surgeries and ways to deliver treatments for several conditions.
Researchers have developed an robotic system to enhance the safety and efficacy of endoscopic submucosal dissection (ESD) for the treatment of gastrointestinal cancer.
The new 3D hydrogels provide high rates of cell proliferation, as they mimic lymph nodes, where T-cells reproduce in vivo.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Robotic surgery for patients with early stage, oropharyngeal squamous cell cancer is associated with improved health outcomes, including better long-term survival.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Researchers have developed a tiny, 3D-printed technology that can be assembled like Lego blocks and help repair broken bones and soft tissue.
Researchers have developed a MR visualisation platform which projects multiple imaging modalities to assist intraoperative surgical guidance.
Using specialized nanoparticles, engineers have developed a way to monitor pneumonia or other lung diseases by analyzing the breath exhaled by the patient.
Researchers report innovative use of machine learning to help understand the interplay of genetic and other breast cancer risk factors.
Researchers are developing a pill-sized capsule that uses AI-enabled sensing to diagnose gastrointestinal cancers and bleeding earlier.
Myriad Genetics, Inc. announced a new collaboration with OptraHEALTH to implement a cognitive chatbot named Gene to provide genetic and financial assistance information to prospective patients.
Researchers have developed a machine learning model that can predict chemotherapy-associated nephrotoxicity.
Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
Researchers are using high-resolution printing technology and the unique properties of graphene to make low-cost biosensors to monitor food safety and livestock health.
AI is increasingly being used in medicine to support human expertise. A study has now illustrated the enormous potential of human/computer collaboration.
Nanoengineers plan to develop an immunotherapy for ovarian cancer using 3D-bioprinted plant virus nanoparticles.
Scientists at Purdue University have developed a skin patch that can deliver chemotherapy into melanoma tumors in an effective and painless way.
Researchers have developed a microneedle patch to deliver mesenchymal stem cells (MSCs) into the skin.
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
Researchers have developed a new, faster method to identify cancer stem-like cells (CSCs), which could help improve the effectiveness of cancer treatments.
A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases.
Computer scientists working with pathologists have trained an AI tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Scientists invented a tiny microrobot that resembles a white blood cell travelling through the circulatory system.
Researchers have developed a wearable, non invasive Vitamin C sensor that could provide a new, highly personalized option for users to track their daily nutritional intake and dietary adherence.
Engineers are developing a massive fluid dynamics simulator that can model blood flow through the full human arterial system at subcellular resolution.
The Bionic Breast Project from the University of Chicago applies bionic technology to restore post-mastectomy breast function.
An anaesthesia team used 3D printing and virtual reality to produce an exact model of the airway of a 7-year-old girl in order to prepare properly for an operation to remove part of her lung.
An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.
Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.
The future of socially distanced lung and heart health monitoring could lie in an inconspicuous yet incredibly sensitive chip.
behold.ai has been issued with a CE Mark Class lla certification in the UK and EU for its AI-based technology that can diagnose chest X-rays as ‘normal’.
EPFL students teamed up with startup IcosaMed to develop the SmartBra – the first piece of smart clothing that can be used for cancer prevention.
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
Commercially available app-based technology now makes early detection of lymphedema easier, allowing for proactive treatment.
Researchers used a skin cream infused with microscopic particles, named STAR particles, for therapy of Skin diseases
A new system combining artificial intelligence with human knowledge promises faster and more accurate cancer diagnosis.
Scientists have developed a technique for visualising the structures of all the brain's blood vessels including any pathological changes.
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
AI techniques, used in combination with the evaluation of expert radiologists, improve the accuracy in detecting cancer using mammograms.
The use of virtual reality can reduce anxiety and improve mood in women undergoing chemotherapy for breast cancer.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
Researchers have carried out the world’s first clinical study of robot-assisted supermicrosurgery to treat lymphedema.
Researchers at Georgia Tech have now developed a chip that accurately replicates its function using the human cells that form this important part of our anatomy.
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.
Researchers developed a bullet-shaped, synthetic miniature robot which is acoustically propelled forward – a speeding bullet, in the truest sense of the word.
Various prototypes of 3D-printed biopsy robots could alleviate the suffering of patients and make breast cancer testing more accurate and efficient.
Drone service slated to begin February 2020, with goals of enhancing efficacy, reliability and predictability of delivering medical products between hospitals and laboratories.
Researchers have developed a tumor biosensing chip that can help determine the optimum dosage of chemotherapy required for a cancer patient.
Researcher have developed a computer method that uses MRI and machine learning to rapidly forecast genetic mutations in glioma tumors,
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
Researchers have developed a 'tumor-on-a-chip' that can better mimic the environment inside the body, paving the way for improved screening of potential cancer fighting drugs.
Ongoing development of an "ink" will be used for 3D printing an artificial (or bio-prosthetic) ovary that could be implanted and allow a woman to have a child.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
A computer algorithm has been shown to be as effective as human radiologists in spotting breast cancer from x-ray images.
Artificial intelligence can detect one of the most common forms of blood cancer—acute myeloid leukemia (AML)—with high reliability.
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
In a proof-of-concept work, scientists demonstrated their photonics-based sensors using fibers and liquid-filled petri dishes.
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Researchers have used a chip-based sensor with an integrated laser to detect very low levels of a cancer protein biomarker in a urine sample.
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Researchers refined application of terahertz radiation to promote the analysis of multi-layered tissues for medical purposes and be used for wound treatment.
Scientists have made a decisive contribution to improving complex surgical training by developing a very realistic prostate phantom.
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Researchers present sensor prototype that can rapidly, precisely, and cost-effectively measure molecular signals for cancer.
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
Wearables are transforming the ability to monitor and improve health, but a decidedly low-tech commodity—the humble toilet—may have potential to outperform them all.
Study using wearable trackers links insufficient sleep to increased rate of biological aging and cardiovascular disease risk.
A robotic single-port kidney transplant, which enables all surgical instruments and the donor kidney to be placed through one small abdominal incision.
Watching immersive 3D videos of icy Arctic scenes helps to relieve burning pain and could hold hope for treating chronic pain.
Using machine learning, researchers have built a tool that detects genetic mutations that trigger the immune system, helping identify which cancer patients are likely to benefit from immunotherapy.
A 3D-printed cell trap developed in the laboratory at Georgia Tech captures blood cells to isolate tumor cells from a blood sample.
Researchers from Johns Hopkins Medicine show that wearable activity trackers are a reliable tool for predicting death risk in older adults.
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
Researchers found that using 3D models to prepare for kidney tumor surgeries resulted in substantial improvements, including shorter operating times.
Scientists have now developed guidelines that should enable the safe development of nanoparticles for medical use.
Researchers use artificial intelligence to improve quality of images recorded by a relatively new biomedical imaging method.
Coated pill carries microneedles that deliver insulin and other drugs to the lining of the small intestine; they usually have to be injected.
A robot-controlled laboratory where decisions are made by artificial intelligence will change the way new drugs are discovered.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Spectroplast has developed a method to make silicone products such as hearing aids, breast prosthesis for breast cancer patients using a 3D printer.
Like real bone, the material has a 3D mineral structure populated with living cells, providing a unique model to study bone function, diseases, regeneration.
Advanced computer models of diseases can be used to improve diagnosis and treatment. The goal is to develop the models to “digital twins” of individual patients.
Collaborators are developing an endoscopic robotic system with two-handed dexterity at a much smaller scale than existing options.
Researchers are developing microrobots that can deliver drugs to specific spots inside the body while being monitored and controlled from outside the body.
The pill is the first known working device capable of non-invasively and accurately assessing the profile of bacterial species inhabiting any stage of the gastrointestinal tract.
Revolutionary material could lead to 3D-printable magnetic liquid devices for the fabrication of artificial cells that deliver targeted drug therapies to diseased cells.
Using AI and biosensors, researchers have created a device that can determine whether targeted chemotherapy drugs are working on individual cancer patients.
Carbon dioxide-based cancer tissue-freezing approach may help more breast cancer patients in lower income countries, animal studies show.
Scientists have developed a robot that looks and moves like a jellyfish; the aim is for Jellyfishbot to be applied in the treatment of cancer.
A Purdue University team has come up with 3D body mapping technology to help treat organs and cells damaged by cancer and other medical issues.
A researcher is hoping to help women in rural areas access information about their reproductive health using a common tool in their pockets: a smartphone.
Researchers developed a remote-controlled drug delivery implant the size of a grape that may help chronic disease management.
Engineers have shown it is technically possible to guide a tiny robotic capsule inside the colon to take micro-ultrasound images.
Researchers encoded their specialized knowledge into the computer game Foldit to enable citizen scientists to successfully design synthetic proteins for the first time.
Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.
A desire for a cheaper way to do common laboratory tests for medical diagnoses led researchers to develop a new lab tech that reduces cost and time.
Using AI, researchers have succeeded in making the mass analysis of proteins from any organism significantly faster than before and almost error-free.
Using artificial intelligence, researchers have decoded the functional impact of genome mutations in people with autism spectrum disorder.
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease.
The project “BioSensing” from Fraunhofer ISC aims to overcome the limits of modern biosensors with the help of quantum technology.
An AI approach can identify with high accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy.
A gooey mixture is being added to newly printed 3D feet which are designed to mimic infected and non-infected diabetic foot wounds.
This is the first rapid detector for dopamine and has the potential to help doctors diagnose Parkinson’s, depression and some forms of cancer.
Researchers have developed the first wearable probe that enhances the sense of touch by imaging and quantifying the elasticity of biological tissue.
Researchers have built a set of magnetic ‘tweezers’ that can position a nano-scale bead inside a human cell in three dimensions with unprecedented precision.