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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...
TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...
A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...
With heatwaves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information 4 to 7 weeks before summer, which ...
At Celosphere 2025 in Munich, the German telco demonstrated how combining process mining with predictive AI enabled proactive customer interventions - offering a practical blueprint for ...
With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
News-Medical.Net on MSN
Machine learning advances human-centric drug toxicity prediction
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
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