Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn ...
Artificial intelligence has analyzed data scattered across hundreds of research papers to discover new lead-free dielectric ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
ctDNA versus 18F-FDG PET-CT in predicting long-term disease control in patients with advanced melanoma undergoing immune checkpoint blockade therapy. Delineating the role of the microbiome and tumor ...
A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications. The studies examine automated data collection, cancer ...
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New framework cuts errors by 80%, helps scientists predict fusion machine’s hardware changes
Inside a fusion machine, the plasma can reach temperatures hotter than the Sun’s core ...
When it comes to identifying harmful bacteria, it helps to look at the company their genes keep. Researchers with the Arkansas Agricultural Experiment Station, the research arm of the University of ...
Effective risk stratification in cancer survivorship requires handling longitudinal data characterized by multimodal inputs, irregular follow-up, and recurrent clinical events. This study evaluated ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...
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