Research chemists employ advanced machine learning algorithms to rapidly screen large compound libraries, predicting bioactivity and toxicity to streamline early drug discovery stages and reduce experimental workloads.

Key points

• Machine learning models screen millions of virtual compounds, reducing screening time by over 80%.
• ML algorithms predict ligand–target binding affinities using deep neural networks and molecular descriptors.
• Hybrid workflows combine physics-based simulations and ML to optimize lead selection with improved accuracy.

Why it matters: By integrating ML into drug pipelines, labs can significantly reduce discovery timelines and costs, enabling faster progression to clinical trials.

CELFULL presents its patented Celfavor Microsphere Sustained-Release Technology, which uses a multi-core microencapsulation structure to shield active ingredients like NADH from oxygen, moisture, and light. This design maintains over sixfold stability for up to 36 months, improving bioavailability and enabling more reliable precision anti-aging supplements.

Key points

• Patented Celfavor Registered Microsphere Sustained-Release Technology isolates active ingredients using a multi-core soluble wall microencapsulation structure.
• Encapsulated NADH retains over 90% activity for 36 months under ambient conditions, improving stability more than sixfold.
• AI-driven predictive modeling accelerates microsphere formulation optimization from months to weeks, supporting functional food and drug development pipelines.

Why it matters: This microsphere approach fundamentally shifts anti-aging supplement stability, enabling more effective, long-lasting interventions compared to traditional formulations and precision dosing benefits.

UC San Diego’s Department of Computer Science and Engineering introduces a specialized AI major that situates within a robust computing curriculum. Students complete foundational CS, mathematics, and statistics courses alongside two core AI classes—Introduction to Artificial Intelligence (CSE 25) and Foundations of AI/ML (CSE 55)—ethical studies, and a capstone project, preparing them for evolving AI roles.

Key points

• Launch of a new undergraduate AI major within UC San Diego’s Department of Computer Science and Engineering with robust CS, math, and statistics foundations
• Introduction of two core AI courses—CSE 25 (intro to AI) and CSE 55 (foundations of AI/ML)—plus a specialized ethics course
• Hands-on capstone projects and diverse electives in areas like generative AI, computational robotics, and AI for biology

Mordor Intelligence delivers an in-depth market analysis on the rapid adoption of AI-powered computer vision in healthcare. Leveraging extensive industry data and segmentation, the report forecasts market valuation growth from USD 4.22 billion in 2025 to USD 14.14 billion by 2030, underpinned by imaging automation, edge-AI chips, and EHR integration.

Key points

• Market valued at USD 4.22 billion in 2025 and projected to reach USD 14.14 billion by 2030 at a 27.36% CAGR.
• Growth driven by AI-powered imaging adoption, edge-AI chips for sub-100 ms latency, and big data extraction from EHR systems.
• Segmentation covers hardware, software, services; applications from diagnostics to smart hospital operations; and deployment modes including on-premise, cloud, and edge/hybrid.

Carnegie Mellon University in Qatar launches a specialized Bachelor of Science in Artificial Intelligence programme that integrates foundational computer science with advanced AI topics using project-based learning and industry collaborations. The initiative aims to cultivate skilled professionals who will support Qatar’s transition to a diversified, knowledge-driven economy.

Key points

• Launch of a Bachelor of Science in Artificial Intelligence programme at CMU-Q integrating core CS courses with advanced AI modules.
• Curriculum emphasizes hands-on project-based learning, industry internships, and research collaborations across machine learning, robotics, NLP, and computer vision.
• Strategic alignment with Qatar National Vision 2030 to develop a sustainable, knowledge-based economy and diversify the workforce.