Across science, medicine, and technology, one problem is becoming increasingly impossible to ignore: data fragmentation. At ...
Poster Presentation at the 2026 Crohn's & Colitis Congress® Showcases Use of Causal Machine Learning and IBD Plexus® to ...
Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...
The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.
Scientists have developed a new technique that could change how we design DNA for ...
Avacta Therapeutics (AIM: AVCT), a clinical stage biopharmaceutical company developing pre|CISION®, a tumor-activated ...
FDA proposes framework clinical trial designs to guide Bayesian methods, improving efficiency in drug development for rare and pediatric conditions.
Avacta Therapeutics (AIM: AVCT), a clinical stage biopharmaceutical company developing pre|CISION, a tumor-activated oncology delivery platform ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Jacques-Louis David, artist and politician of the French Revolution, has beguiled our critic Jason Farago for years — and scared him, too. Let him show you why. By Jason Farago A new exhibition ...
Trial-to-trial variability can result from both deterministic sources, such as complex dynamics or internal states, and randomness — that is, noise. This Review focuses on noise and its impact along ...
Structure-based drug design is the design and optimization of a chemical structure with the goal of identifying a compound suitable for clinical testing — a drug candidate. It is based on knowledge of ...