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.
Search for: genomics
Study using wearable trackers links insufficient sleep to increased rate of biological aging and cardiovascular disease risk.
An AI-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy.
Data privacy and security concerns hamper large-scale studies. Researchers have developed a potential solution.
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.
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.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
A new VR platform enables the display of huge amounts of data. This can be helpful, for example, when examining rare genetic defects.
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 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.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Scientists are researching salamanders unique superpower - they can regenerate their spinal cords and regain full functionality.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
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 a machine learning model that can predict chemotherapy-associated nephrotoxicity.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
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.
“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.”
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.
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.
Using AI, researchers have succeeded in making the mass analysis of proteins from any organism significantly faster than before and almost error-free.
The project “BioSensing” from Fraunhofer ISC aims to overcome the limits of modern biosensors with the help of quantum technology.
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 use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
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.
“The digital transformation will make healthcare even more human. It will enable us to provide preventive and personalized healthcare,” says Prof. Dr. Koen Kas, Professor of Oncology at Ghent University, Belgium.
European Commission put forward a set of measures to increase the availability of data in the EU, building on previous initiatives to boost the free flow of non-personal data in the Digital Single Market. A key factor is to ensure securing citizens' healthcare data while fostering European cooperation
Eric Schmidt has strong opinions about the healthcare system, its providers and professionals. He critized that the healthcare ecosystem was still being stuck in the “stone age" and challenges it to "focus on innovation".