Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...
Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Two-dimensional (2D) materials and nanomaterials have emerged as transformative candidates for next-generation photovoltaic (PV) and solar energy conversion ...
SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...
Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...
Artificial intelligence has made significant strides in dentistry, especially in areas like diagnostics and clinical imaging.
Machine learning (ML) represents a rapidly evolving field that enables computational systems to learn from data and improve their performance without explicit, hand-crafted programming. At its core, ...
Antimicrobial resistance (AMR) is one of the world’s urgent public health problems. New therapeutics and strategies are needed to contend with the growing number of resistant superbugs. Now, ...
Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.
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