A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

Researchers at The University of Texas MD Anderson Cancer Center have shown that DNA inflexibility, or rigidity, inside the ...

Labroots is excited to announce our 14th Annual Precision Medicine: Genomics, Genetics & Molecular Diagnostics Virtual Event Series 2026 held on May 13th, 2026! The Precision Medicine: Genomics, ...

MIAMI--(BUSINESS WIRE)--PanGIA Biotech announced today four of its abstracts were accepted for presentation at the 7th Annual Congress of Liquid Biopsy (ISLB 2025)¹, November 1–3 in Orlando, Florida.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Network methods and molecular dynamics (MD) simulations have become essential tools ...

Abstract: FPGAs are drawing increasing attention in resolving molecular dynamics (MD) problems, and have already been applied in problems such as two-body potentials, force fields composed of these ...

Presented by Ishraq Awashra, Graduate Research Assistant and Purdue Center for Community and Environmental Design. This workshop introduces students to the concept and practice of creating graphical ...

Lugano, Switzerland, 27 August 2025 – The Molecular Analysis for Precision Oncology Congress 2025 (MAP) will bring together leading experts to explore the latest advances in cancer research, with a ...

JNJ-5332, a trispecific antibody, showed promising efficacy in relapsed/refractory multiple myeloma, with a 70.4% complete response rate in BCMA/GPRC5D-naïve patients. Polatuzumab vedotin in the ...

Patient-generated health DATA as a risk stratification tool: Real-world multidisciplinary care study from a developing-country private clinic. Influence of unruptured abdominal aortic aneurysm (AAA) ...

The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...

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