
Radiation therapy: 3D printed shields for protection
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.
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.
Researchers have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart.
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.
Researchers encoded their specialized knowledge into the computer game Foldit to enable citizen scientists to successfully design synthetic proteins for the first time.
Engineers have successfully developed and validated the feasibility of blockchain-based technologies for secure, confidential sharing of patient medical records.
A wide range of fetal genetic abnormalities could soon be detected in early pregnancy thanks to researchers using lab-on-a-chip, non-invasive technology.
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.
The wafer-thin, feather-light sensor can fit on a fingernail and precisely measures a person’s exposure to UV light from the sun.
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.
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.
The neural network detects anomalies in medical images more successfully than general-purpose solutions.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
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.
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.
New 3D printing technique enables faster, better, and cheaper models of patient-specific medical data for research and diagnosis.
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.
Scientists at have shown that diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
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.
Researcher have developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.
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.
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.
Engineers have developed a sweat-proof “smart skin” — a conformable, sensor-embedded sticky patch that reliably monitors a person’s health.
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.
Researchers have developed a holographic technique that can rapidly reconstruct microscopic images of samples with up to 50-fold acceleration compared to existing methods.
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.
Researchers are developing a microneedle patch that delivers antibiotics directly into the affected skin area.
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 study from Stanford University found limitations in the Food and Drug Administration’s approval process.
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.
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.
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.
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.
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.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Researchers have developed a minuscule robot that could revolutionize surgical procedures for treating prostate cancer.
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.
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.
Researchers have achieved promising results with a new cancer therapy using focused ultrasound (FUS) and ionizing radiation.
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.
Researchers have developed a new way to power and communicate with devices implanted deep within the human body.
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.
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.
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.
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.
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.
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.
The new 3D hydrogels provide high rates of cell proliferation, as they mimic lymph nodes, where T-cells reproduce in vivo.
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.
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 have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
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.
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.
The Bionic Breast Project from the University of Chicago applies bionic technology to restore post-mastectomy breast function.
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.
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.
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
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.
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.
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.
The use of virtual reality can reduce anxiety and improve mood in women undergoing chemotherapy for breast cancer.
Researchers developed a bullet-shaped, synthetic miniature robot which is acoustically propelled forward – a speeding bullet, in the truest sense of the word.
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
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.
In a proof-of-concept work, scientists demonstrated their photonics-based sensors using fibers and liquid-filled petri dishes.
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
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.
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
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.
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.
Scientists have made a decisive contribution to improving complex surgical training by developing a very realistic prostate phantom.
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
Coated pill carries microneedles that deliver insulin and other drugs to the lining of the small intestine; they usually have to be injected.
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Like real bone, the material has a 3D mineral structure populated with living cells, providing a unique model to study bone function, diseases, regeneration.
Researchers are developing microrobots that can deliver drugs to specific spots inside the body while being monitored and controlled from outside the body.
Using AI and biosensors, researchers have created a device that can determine whether targeted chemotherapy drugs are working on individual cancer patients.
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.
Researchers developed a remote-controlled drug delivery implant the size of a grape that may help chronic disease management.
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.
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.
Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist.
Researcher have developed a drug capsule that releases insulin in the stomach could replace injections for patients with diabetes.
Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.
Researchers have created a novel 3D printing workflow that allows cardiologists to evaluate how different valve sizes will interact with each patient's unique anatomy, before the medical procedure is actually performed.
Searching through the mountains of published cancer research could be made easier for scientists, thanks to a new AI system.
Scientists have developed machine learning algorithms that can predict yeast metabolism from its protein content.
K-FLEX, a flexible endoscopic surgical robot developed opens a new chapter for precise and minimally invasive robot-assisted surgery.
Researchers employ novel machine learning techniques that determines the fewest, smallest doses of toxic chemotherapy and radiotherapy that could still shrink glioblastomas.