The transformative impact of artificial intelligence (AI) on clinical research, diagnosis, treatment, and our overall understanding of medicine continues to expand. This collection of in-depth ...

The use of Artificial Intelligence (AI) and Machine Learning (ML) in clinical research is rapidly evolving, offering a glimpse into a future where medical innovation is driven by data-driven ...

Objective: To identify patients with heart failure (HF) by using language contained in the electronic medical record (EMR). Methods: We validated 2 methods of identifying HF through the EMR, which ...

Multi-omics analysis has emerged as a powerful approach in translational medicine, integrating diverse molecular data to ...

Decades of innovation have brought us into a new era of mass spectrometry with the design of Agilent’s revolutionary Triple Quadrupole LC/MS. Ultivo is packed full of the same power and accuracy ...

AI-driven discovery, EHR-based real-world evidence, and synthetic patient modeling are rapidly reshaping drug repurposing, reducing development timelines, expanding therapeutic applications, and ...

Olympus delivers a breakthrough to life science microscopy with the launch of its next-generation X Line objectives. Ultra-thin lenses manufactured by a revolutionary polishing technique enable the ...

The U.S. Food and Drug Administration earlier this month approved an application from a New Haven-based biotechnology company to conduct clinical research on a new treatment for Parkinson’s disease.

Resolving the genetics of underlying Mendelian diseases as well as host immune responses to infectious diseases is an important prerequisite for understanding their biology and for ultimate treatment ...

Given the volume of materials received in a very short period of time, it is not possible to notify applicants of the status of their application. Applications are evaluated based on the applicants' ...