AI Medical Compendium

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models.

Angewandte Chemie (International ed. in English) Feb 17, 2026

The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery. Unlike traditional trial-and-error approaches, AI-empowered data-driven technologies, particularly large AI models ... read more

Physically reconfigurable synaptic plasticity and learning in stretchable neuromorphic systems.

Materials horizons Feb 17, 2026

Wearable electronics that use intrinsically stretchable organic neuromorphic devices offer a promising approach to achieve human-like on-device processing with a seamless human body interface. A central challenge, however, lies in achieving tunable s... read more

AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 17, 2026

Colorectal cancer remains one of the leading causes of cancer mortality, and its prognosis is strongly dependent on early detection. Conventional diagnostic approaches, such as colonoscopy and capsule endoscopy, primarily rely on visual inspection an... read more

Comment on "SegORG: Report Generation of Oral Potentially Malignant Disorders Image Based on Lesion Segmentation-Enhanced LLM".

Oral diseases Feb 17, 2026

Speciation and partitioning: a survey study of rare earth elements (REEs) in coal fly ash.

Environmental science. Processes & impacts Feb 17, 2026

Rare earth elements (REEs) are crucial for technological advancement in semiconductors, artificial intelligence development, and defense technologies. With the growing demand for and heavy import reliance of the U.S. on REEs, identifying and developi... read more

Self-assembled monolayers for bio-analytical SERS applications: from single to mixed component SAMs.

Materials horizons Feb 17, 2026

Self-assembled monolayers (SAMs) represent an elegant and powerful strategy for achieving precise control over the surface chemistry of plasmonic nanomaterials. This capability has significantly advanced both fundamental and applied research in surfa... read more

Nano-engineered PEDOT(MXene)/PVDF(HFP) bilayer membranes for dual-mode flexible sensing and machine learning-guided signal recognition.

Nanoscale Feb 17, 2026

Flexible nanostructured sensors that combine electrical conductivity, mechanical robustness, and multimodal recognition capability are crucial for next-generation wearable electronics and intelligent human-machine interfaces. This study reports a dua... read more

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Feb 17, 2026

PURPOSE: This study aims to test whether week-long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people with knee osteoarthritis (KOA), (ii) separate prodromal KOA from established KOA, and (iii) identif... read more

Classification, performance and recycling of ceria-based materials used for chemical mechanical polishing.

Nanoscale Feb 17, 2026

Ceria (CeO2)-based materials, endowed with balanced chemical reactivity and moderate mechanical hardness, are extensively applied in ultra-precision surface processing fields such as integrated circuits (ICs), semiconductor substrates, optical glass,... read more

Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data.

Cytometry. Part B, Clinical cytometry Feb 17, 2026

Minimal/measurable residual disease detection is routinely performed as part of post-diagnostic treatment plans for many types of cancer, for which multiparameter flow cytometry is one possible modality frequently used. We propose a machine learning ... read more

Artificial Intelligence Medical Compendium