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machine-learning-approach-accelerates-discovery-of-novel-cdk9-inhibitors

Machine Learning Approach Accelerates Discovery of Novel CDK9 Inhibitors

A virtual screening campaign using machine learning identified molecules with potential for development as novel CDK9 inhibitors for the treatment of cancer, according to early research findings published in Biomolecules. Integration of artificial intelligence (AI) into the drug discovery phase allowed for an accelerated analysis and identification of 14 molecule candidates that were then further tested

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Students’ Professional Growth Relies on AI Integration in Pharmacy School Curricula | Drug Topics

Key Takeaways AI is reshaping pharmacy practice by improving workflows, medication safety, and clinical decision-making, enabling pharmacists to focus on patient care. Despite AI's potential, its integration into pharmacy education is limited, with few curricula establishing clear learning outcomes. A scoping review found AI supports personalized learning and pharmacy coursework, highlighting its growing role in

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Foam physics reveals unexpected parallels with AI learning | Digital Watch Observatory

Skip to content 15 Jan 2026 A new study suggests the mathematics behind AI training also governs the hidden dynamics of everyday foams, challenging long-standing assumptions in materials science. Engineers at the University of Pennsylvania have found that foams, long assumed to behave like static glass, remain in constant internal motion while preserving their outward

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Learners and educators are AI’s new “super users”

Our third annual “Our Life with AI” survey shows the top reason people use AI is to learn and understand new concepts — not just to be entertained. General summary A recent study shows people now use AI primarily for learning instead of entertainment. Students, teachers and parents are using AI to help with schoolwork

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AI ‘godfather’ Yoshua Bengio believes he’s found a technical fix for AI’s biggest risks  | Fortune

For the past several years, Yoshua Bengio, a professor at the Université de Montréal whose work helped lay the foundations of modern deep learning, has been one of the AI industry’s most alarmed voices, warning that superintelligent systems could pose an existential threat to humanity—particularly because of their potential for self-preservation and deception. In a

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AI/ML contract for embedded operations signed by SRC, AFRL – Military Embedded Systems

News January 14, 2026 Lisa Daigle Assistant Managing Editor Military Embedded Systems Graphic courtesy SRC, Inc. SYRACUSE, N.Y. Defense research and development company SRC, Inc. won a $24 million contract with the U.S. Air Force Research Laboratory (AFRL) to develop next-generation embedded artificial intelligence and machine learning (AI/ML) capabilities across ground, air, and space domains. Under the terms of

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AI Sheds Light on Hard-to-Study Ocean Currents – Eos

Researchers used artificial intelligence to study the currents flowing through Indonesia, including in the Maluku Strait, seen here. Credit: Zheng Wang Source: Journal of Geophysical Research: Machine Learning and Computation The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only low-latitude current that connects the

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Lynx Analytics Introduces Lumen, an Agentic AI Framework to Improve Decision-Making in Life Sciences

Lynx Analytics announced Lumen, a specialized Agentic AI framework designed to help pharmaceutical and biotech organizations generate strategic, decision-ready insights from complex scientific and commercial information. Built specifically for life sciences workflows, Lumen enables companies to deploy AI agents across a wide range of real-world use cases — from rapidly distilling lengthy clinical or market

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AI Hip Growth Chart: Deep Learning for Pediatric Hip Assessment

The development of a novel AI Hip Growth Chart represents a significant step forward in pediatric radiology. A recent study introduced a deep learning (DL)-based algorithm for automatically measuring the size of the femoral head ossification center (FHOC) in children. Historically, manual measurement of the FHOC on radiographs is often subjective and prone to inter-observer

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