
Artificial intelligence shortcuts introduce bias in cancer treatment
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.
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 describe a method they developed for growing tiny “brains on chips” from human cells that enabled them to track the physical and biological mechanisms underlying the wrinkling process.
MIT engineers have developed new technology that could be used to evaluate new drugs and detect possible side effects before the drugs are tested in humans.
AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.
An AI-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy.
A new test method that detects SARS-CoV-2 in saliva has the same sensitivity as a qPCR test.
Researchers will test out whether exposing patients to a combination of light therapies will slow Alzheimer’s debilitating effects.
Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.
The future of vaccines may look more like eating a salad than getting a shot in the arm.
The MasSpec Pen has shown to accurately differentiate healthy and cancerous tissue from banked pancreas samples during surgery.
Researchers at Tel Aviv University have printed an entire active and viable glioblastoma tumor using a 3D printer.
Scientists have developed a machine learning technology to understand how gene expression regulates an organism's circadian clock.
Machine learning can accurately predict cardiovascular disease and guide treatment — but models that incorporate social determinants of health better capture risk and outcomes for diverse groups.
Bioprinted 3D cardiac patches could reverse scar formation and promote myocardial regeneration after heart attacks.
Health industry digitalization is one of the highest priorities in the healthcare sector these times. Digital technologies can help in the fight against addictions.
Scientists at The German Primate Center want to use genetic engineering methods to improve cochlear implants.
A new VR platform enables the display of huge amounts of data. This can be helpful, for example, when examining rare genetic defects.
Modern medicine needs better quality samples than traditional biopsy needles can provide, ultrasonically oscillating needles can improve treatment and reduce discomfort.
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.
Researchers develop signals that could bring color vision and improved clarity to prosthesis for the blind.
Scientists have grown small amounts of self-organizing brain tissue, known as organoids, in a tiny 3D-printed system that allows observation while they grow and develop.
Researchers have developed a novel skin-mounted sticker that absorbs sweat and then changes color to provide an accurate, easy-to-read diagnosis of cystic fibrosis within minutes.
Researchers have created life forms that self-assemble a body from single cells and do not require muscle cells to move. They're faster, live longer, and can now record information.
Researchers have designed a cellular device capable of detecting and processing biological signals outside the laboratory.
The first human corneas have been 3D printed by scientists at Newcastle University.
The Wyss Institute's eRapid electrochemical sensor technology now enables specific and multiplexed detection of blood biomarkers at low cost.
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.
Researchers have developed an “organs-on-a-chip” system that replicates interactions between the brain, liver, and colon.
Experiments revealed that TALEN is up to five times more efficient than CRISPR-Cas9 in parts of the genome that are densely packed.
How fast could SARS-CoV-2 be detected? Researchers have developed an accurate, high-speed, and portable detector for COVID-19.
University of Illinois Chicago is one of the U.S. sites participating in clinical trials to cure severe red blood congenital diseases such as sickle cell anemia or Thalassemia by safely modifying the DNA of patients’ blood cells.
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
An advanced nanomaterial-based biosensing platform detects antibodies specific to SARS-CoV-2 within seconds.
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
MIT researchers have built an ingestible sensor equipped with genetically engineered bacteria that can diagnose bleeding in the stomach or other gastrointestinal problems.
Researchers have developed a rapid, ultrasensitive test using a paper-based electrochemical sensor that can detect the presence of the virus in less than five minutes.
A tiny new silicon-based lab-on-chip test could pave the way for cheap handheld infectious disease testing.
Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current.
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.
Radiator-like fluid systems adjust the genetic wiring inside human liver cells in preliminary work toward artificial organ-tissue engineering.
Scientists have developed a bioelectronic system driven by a machine learning algorithm that can shift the membrane voltage in living cells and maintain it at a set point for 10 hours.
A new machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.
Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
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 developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.
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.
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.
Researchers developed a modular system for the genetic reprogramming of bacteria, thereby turning the organisms into cell factories for multifunctional magnetic nanoparticles.
An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
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 present sensor prototype that can rapidly, precisely, and cost-effectively measure molecular signals for cancer.
Study using wearable trackers links insufficient sleep to increased rate of biological aging and cardiovascular disease risk.
Researchers have created biosensor technology that may help lead to safe stem cell therapies for treating Parkinson’s diseases.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
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.
Researchers from Johns Hopkins Medicine show that wearable activity trackers are a reliable tool for predicting death risk in older adults.
Though identifying data typically are removed from medical image files before they are shared for research, a study finds that this may not be enough to protect patient privacy.
Ophthalmologists developed a simulation that helps patients, families and health professionals understand what progressive vision loss feels like.
Computational tools applied to biology are revolutionizing the study of what happens inside cells during an infection, helping scientists to understand disease mechanisms.
Scientists participating in the project “DrugTarget” have now developed a method that can quickly check the condition of the genome. This will help develop points of intervention for new medicines
Pancreas-on-a-chip allowes scientists to identify the possible cause of a frequent and deadly complication of cystic fibrosis called CF-Related Diabetes, or CFRD.
Virtual doppelgangers could one day revolutionize medicine: Researchers are developing a digital twin, which should facilitate the development of personalized therapies.
With artificial intelligence to a diagnosis of rare hereditary diseases: The neural network combines data from portrait images with gene and patient data.
Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.
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.
Researchers studied gaming data from the mobile game and found out that it can detect people at risk of Alzheimer’s.
Scientists have developed a new technique for the decontamination of organs before transplantation using ultraviolet and red light irradiation.
Engineers have combined CRISPR with electronic transistors made from graphene to create a new hand-held device that can detect specific genetic mutations in a matter of minutes.
Researchers have created new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer.
Scientists find new and smaller gene editor: the new gene-editing protein, CasX, may give CRISPR-Cas9 a run for its money.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
Researchers successfully used CRISPR/Cas9 to limit the impact of schistosomiasis and liver fluke infection, affecting more than a quarter of a billion people in Southeast Asia, sub-Saharan Africa, and Latin America.
Researchers have repurposed the gene-editing tool CRISPR to study which genes are targeted by particular antibiotics, providing clues on how to improve existing antibiotics or develop new ones.
Researchers analyze skin cells from mre than 100 people of different ages to find molecular signatures that change as people get older.
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
Alphabet, Amazon, Apple and Microsoft are all building technologies that have the potential to transform the delivery of care. Here are some examples of BigTech's road into healthcare.
Scientists plan to edit their genomes to correct rare genetic mutations and slow or halt progression of their diseases.
Research project is aimed at improving therapeutic options for both rare and common diseases, including supporting methods to improve editing the human genome.
A Brock University research team has created a microscopic robot that has the potential to identify drug resistance to tuberculosis faster than conventional tests.