AI Medical Compendium

A lightweight hybrid attention network with multi-scale feature integration for intelligent recognition of underwater acoustic targets.

Scientific reports May 27, 2026

Uncertainty estimation and probabilistic skull shape reconstruction using bayesian neural networks.

Scientific reports May 27, 2026

3D shape reconstruction is an active area of research and a fundamental problem in computer vision, with growing applications in the medical domain, where it enables the recovery of missing or fine anatomical structures. Numerous approaches have been... read more

Emotion correction for weibo users via weakly supervised learning and semantic understanding.

iScience May 27, 2026

With the fast pace of modern society, individuals are facing increasing psychological stress and emotional challenges. As an important platform for public emotional expression, Weibo contains extensive textual data reflecting users' emotional states.... read more

Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineering.

Metabolic engineering May 27, 2026

Streptomyces are renowned for their unparalleled capacity to produce bioactive natural products, making them prime candidates for industrial antibiotic manufacturing. However, Streptomyces lags behind E. coli and yeast in genetic tool development, as... read more

Education Research: Quality of Narrative Feedback Generated by a Large Language Model Compared With Expert Faculty for Case-Based Learning in Neurology Education.

Neurology. Education May 27, 2026

BACKGROUND AND OBJECTIVES: Neurology learners often receive limited feedback in clinical settings because of workflow constraints, variability in supervision, and competing clinical demands. Artificial intelligence, including large language models (L... read more

Δ-Machine learning toward CCSD accuracy for homohalogenated borane-phosphine adducts: screening low-energy structures from DFT and MP2 libraries.

Physical chemistry chemical physics : PCCP May 27, 2026

Accurate formation energies for weak boron-phosphorus Lewis adducts are challenging because low-order correlation and density-functional methods can misrank low-energy motifs on shallow potential-energy landscapes and are sensitive to basis-set super... read more

Emerging 2D Materials for Green Ammonia Electrosynthesis: Integrating Experimental, Computation, and Machine Learning Strategies Toward Commercialization.

ChemSusChem May 27, 2026

Electrochemical nitrogen reduction reaction (NRR) offers a sustainable route for ammonia synthesis, facilitating reduction of fossil fuels and reducing carbon footprint. This review critically examines emerging 2D materials like doped graphene, MXene... read more

Machine Learning-Guided Discovery of Efficient Metal-Organic Frameworks for Volatile Organic Compound Removal: A Case Study on CCl4.

Chemphyschem : a European journal of chemical physics and physical chemistry May 27, 2026

The adsorption of carbon tetrachloride (CTC) in MOFs was investigated by integrating GCMC simulations at 298.15 K and 10 kPa with machine learning (ML). The structural properties, including the largest cavity diameter, pore limiting diameter, and acc... read more

A 24-Day MicroCycle Journey to Interleukin-17 Inhibitors: From Library Design to Central Core Prioritization and Capping Group Identification.

ChemMedChem May 27, 2026

We herein report an application of the MicroCycle platform, which leverages advanced machine learning models, automation, and miniaturization of processes to accelerate the exploration of chemical space through libraries. This approach was applied to... read more

Prioritizing emerging organic pollutants in rivers of Thailand using suspect screening analysis with high-resolution mass spectrometry.

Environmental science. Processes & impacts May 27, 2026

Efforts to regulate emerging organic pollutants (EOPs) as new chemicals enter the market are often inadequate, and many potentially harmful EOPs remain unregulated especially in Thailand. Wastewater treatment plants, which are ineffective at eliminat... read more

Artificial Intelligence Medical Compendium