The authors present convincing data to validate abscisic acid-induced dimerisation to induce a synthetic spindle assembly checkpoint (SAC) arrest that will be of particular importance to analyse ...
The future of customer targeting isn't about knowing more—it's about acting faster and smarter on what you already know.
Examine the employment prospects for ethical hacking versus cybersecurity in 2026. Discover how AI is influencing the future ...
The engagement establishes a multi-phase framework to support AI enabled capital efficient development of Teverelix, a next generation GnRH antagonist, as a first in class market product for acute ...
Share Market highlights - Find here all the highlights related to Sensex, Nifty, BSE, NSE, share prices and Indian stock ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...
Leveraging Machine Learning, Explainable AI, and Open-Source LLMs for Students’ Placement Prediction
Students’ placement prediction is a significant challenge in academia. It requires robust machine learning techniques to evaluate academic performance and related parameters influencing employability.
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...
10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
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