First-in-class monoclonal antibody agonist programme for inflammation resolution with broad applicability across major chronic inflammatory diseasesEvolution of Nucleome's non-coding genetics ...
By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...
In the realm of modern medicine, RNA-based therapies have emerged as a promising avenue, with significant advancements in metabolic diseases, oncology, and preventive vaccines. A recent article ...
Effective governance of nanotechnology is essential for ensuring safety, promoting transparency, and fostering sustainable ...
WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...
A new study has developed a powerful computational method that can detect how genes interact with each other to influence complex traits in humans at a scale previously impossible. The new method was ...
Researchers from Turku Bioscience Centre at the University of Turku, Finland, have developed a new computational method to interpret complex single-cell data. The method helps researchers identify and ...
The goal of this training course is to present to professionals of (nuclear) chemical engineering an interconnected set of computational methods needed in the core undergraduate chemical engineering ...
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, ...
This joint special issue highlights the latest advancements in the field of drug delivery focusing on how computational methods are being utilized to overcome some of the most challenging obstacles.
A team of physicists has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This multidisciplinary study, ...
The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...