AI Medical Compendium

Enhancing rabies epidemic modeling with neural networks and fractional calculus.

Scientific reports Feb 24, 2026

Explainable active reinforcement deep learning improves lung cancer detection from CT images.

Scientific reports Feb 24, 2026

Using machine learning algorithms to study the relationship between meteorological conditions and air quality parameters.

Scientific reports Feb 24, 2026

An optimized ensemble framework for machinery fault detection in IoT environments.

Scientific reports Feb 24, 2026

Fault detection in IoT-enabled machinery involves identifying defects in the operation of industrial equipment to foil breakdowns that ensure reliability. It typically relies on analysing data from IoT sensors that monitor key parameters such as temp... read more

A switching-based deep learning framework for personalized and adaptive E-commerce recommendations.

Scientific reports Feb 24, 2026

In recommendation systems, it is bit challenging to address diverse user profiles, particularly when users demonstrate varied interaction histories and preferences. These chalenges include data sparsity and the cold start problem which requires the i... read more

Contextual anatomy-guided deep learning for accurate fovea segmentation in diabetic retinopathy fundus images.

Scientific reports Feb 24, 2026

Accurate fovea segmentation in fundus images is a critical step in diabetic retinopathy screening; however, it remains a challenging task due to the indistinct boundaries of the fovea. Beyond simple localization, precise segmentation offers essential... read more

Machine learning in trauma anesthesia - from promise to practice.

Current opinion in anaesthesiology Feb 24, 2026

Large-scale analysis of DNA quantification metrics and SNP sequencing performance in unidentified human remains.

Forensic science international. Genetics Feb 24, 2026

Massively parallel sequencing (MPS)-based single nucleotide polymorphism (SNP) profiling is being increasingly used in forensic DNA testing, yet the informative value of common pre-sequencing DNA metrics to predict SNP profile completeness remains un... read more

Use of Machine Learning and Large Language Models in Chemical Information Extraction.

Annual review of chemical and biomolecular engineering Feb 24, 2026

Rich information in the chemical literature presents unprecedented opportunities for accelerating discovery and optimization in chemistry through data-driven approaches. Nevertheless, converting raw information in the literature into structured datab... read more

RNA Dynamics and Interactions Revealed Through Atomistic Simulations.

Annual review of physical chemistry Feb 24, 2026

RNA function is deeply intertwined with its conformational dynamics. In this review, we survey recent advances in the use of atomistic molecular dynamics simulations to characterize RNA dynamics in diverse contexts, including isolated molecules and c... read more

Artificial Intelligence Medical Compendium

Enhancing rabies epidemic modeling with neural networks and fractional calculus.

Explainable active reinforcement deep learning improves lung cancer detection from CT images.

Using machine learning algorithms to study the relationship between meteorological conditions and air quality parameters.

An optimized ensemble framework for machinery fault detection in IoT environments.

A switching-based deep learning framework for personalized and adaptive E-commerce recommendations.

Contextual anatomy-guided deep learning for accurate fovea segmentation in diabetic retinopathy fundus images.

Machine learning in trauma anesthesia - from promise to practice.

Large-scale analysis of DNA quantification metrics and SNP sequencing performance in unidentified human remains.

Use of Machine Learning and Large Language Models in Chemical Information Extraction.

RNA Dynamics and Interactions Revealed Through Atomistic Simulations.

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Artificial Intelligence Medical Compendium

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