New research by a team at Mass General Brigham has found that across all medical specialties, ChatGPT displays 72% accuracy in clinical decision making and is 77% accurate making a final diagnosis. The study, published today in the Journal of Medical Internet Research, shows that the chatbot performed equally well…

Nearly 35 years ago, in 1990, noted geneticist Mary-Claire King was the first person to show that a germline mutation—in this case in the BRCA1 gene—can cause a person to inherit a much higher risk of developing cancer. This first discovery in breast cancer opened the doors to the identification…

A machine learning algorithm called TrialGPT, developed by researchers at the National Institutes of Health (NIH) in Bethesda, can accurately match volunteers to clinical trials they could participate in and provide a written summary explaining why they are a good match. Writing in the journal Nature Communications, the researchers say…

Four years ago, Sendhil Mullainathan, Ziad Obermeyer, Niyum Gandhi, and Elliott Green began their quest to solve what they believe is the true bottleneck of using AI in healthcare—real-world data. “[Mullainathan and Obermeyer] had written a pivotal paper on AI and healthcare that focused on the inability of AI to…

Originally Aired: September 19, 2024Time: 8:00 am PT, 11:00 am ET, 17:00 CET VIEW NOW Early diagnosis and swift treatment are critical to changing the lung cancer landscape. Aligned with this goal, blood-based testing is a valuable tool to support clinical decision-making from diagnosis through monitoring. In this webinar, Dr. Gary Pestano…

When Kathryn Doornbos finished her PhD and entered the biopharma world, she asked herself a question that stuck—why was it so hard for clinical sites to identify the right patients for the right trials at the right time? Her intuition was correct, and there is plenty of evidence to back…

As hospitals face increasing budgetary and workforce pressures, increasing health systems are turning to clinical decision support tool providers to reduce the workload. We examine five upcoming players using artificial intelligence (AI) to streamline patient care. During the COVID-19 pandemic, healthcare systems around the world were stretched to the limit,…

Researchers at the University of California, San Francisco (UCSF) have begun enrollment for a clinical trial that uses a new, powerful version of CAR T as a potential therapy for glioblastoma, the most common and deadly adult brain cancer. The clinical trial is funded by an $11 million grant to…

Current clinical guidelines call for annual lung cancer screening of patients 50 years and older with a history of smoking using low-dose computed tomography. Previous results from the National Lung Screening Trial (NLST) have shown that this screening increases early detection and reduces mortality. However, a new study published in…

After decades of research, cell and gene therapies are gaining traction in the biotech industry. Here are five investor-favored private startups with products already in clinical development. While conventional medications are often effective at controlling symptoms or modifying a disease, there are many conditions where their benefits are limited, such…

The role that real-world evidence, and the data that feeds into it, play in the clinical trials arena is changing. For many years, drug developers and regulators have collected real-world data (RWD) on adverse events linked to newly approved medicines. However, this data has not played a significant role in…

Nearly 20 years ago, The Human Genome Project announced the sequencing of about 90% of the human genome.1 That success spurred a crucial question: When will this information improve healthcare? Just this year, scientists completed the sequencing of the entire human genome.2 Still, clinical sequencing—using genetic variants to identify or…

Clinical next-generation sequencing (NGS) can mean different things to different people, so when trying to understand the current landscape of clinical NGS, it is important to appreciate that it covers a wide range of applications—from single-gene testing to whole-genome sequencing. Also known as high-throughput sequencing—owing to its more rapid resolution…

A prediction tool developed by U.S. researchers could help decide treatment and future care decisions in older adults living outside nursing homes with suspected dementia by predicting those who will die within the next decade. The mortality prediction tool identified several easily available clinical predictors of death within this time,…

Artificial intelligence (AI) and machine-learning company Unlearn, which creates “digital twins” of patients in clinical trials to improve efficiency of clinical studies, today announced that it has closed a $50 million Series B funding round. The new investment will be used to continue deployment with pharmaceutical and biotech companies of…