In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.
Spotify's "About the Song" feature offers fun facts about the music you're listening to. The feature, currently in beta, ...
The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...
Do microorganisms truly reside in tumors, or do the samples become contaminated before sequencing occurs? A new computational ...
Six. Last, but not the least, the AI-shaped internet is faster, cheaper, and more personalised, and lowers barriers to ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Shiv Nadar Foundation will host the ICONIQ Quizverse Challenge, a pan-India inter-college competition for UG and PG students ...
SAN FRANCISCO, Feb. 05, 2026 (GLOBE NEWSWIRE) -- RelationalAI today announced it has been included in the inaugural Gartner (R) 2026 Magic Quadrant (TM) for Decision Intelligence Platforms.
Every crystal’s shape is a mirror of the internal arrangement of their molecules, but the molecules in photoswitchable ...
The 2026 Satinder Ahuja Award for Young Investigators in Separation Science will be presented to Justin Godinho of GSK, who will speak on Increasing Separation Efficiency and Speed, focusing on ...
News-Medical.Net on MSN
Smartwatch data may help detect opioid misuse risk
Opioid overdoses continue to take a devastating toll across the United States. According to the U.S. Centers for Disease Control and Prevention (CDC), in 2023, the nation recorded roughly 105,000 drug ...
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