AI Medical Compendium

Precision oncology meets nanotechnology: AI-driven liposomal nanocarriers for enhanced cancer immunotherapy.

Critical reviews in oncology/hematology Mar 21, 2026

The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strategies in cancer immunotherapy and chemotherapy. These AI-engineered nanomaterials enable targeted drug delivery, controlled release, and improved modul... read more

Computational delineation and cellular profiling of murine cortical cell layers using multiplex immunofluorescence imaging.

Journal of neuroscience methods Mar 21, 2026

BACKGROUND: The adult mammalian cerebral cortex has a vertical laminar organization consisting of six neuronal layers, with each layer subserving a specific function. Accurate delineation and assignment of cortical neurons to their appropriate layer ... read more

Memory efficient training for 3D brain image registration networks using PatchMorph.

Scientific reports Mar 21, 2026

We present PatchMorph, a novel stochastic framework designed to significantly reduce memory demand during training and inference of existing unsupervised convolutional and transformer-based registration networks for 3D brain image registration. Patch... read more

From Passive Sampling to Precision Intervention: A Standardized Radiomics-Driven Workflow for Molecularly Adequate Lung Biopsy.

Cardiovascular and interventional radiology Mar 21, 2026

PURPOSE: To develop and temporally validate a predictive framework for molecular adequacy in computed tomography (CT)-guided transthoracic needle biopsy (TTNB) of lung lesions, integrating procedural variables with radiomic features derived from pre-... read more

Palmatine ameliorates MASLD in type 2 diabetes by modulating hepatic apoptosis and inflammation.

Scientific reports Mar 21, 2026

Type 2 diabetes mellitus (T2DM) is a major risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), and their convergence presents a significant therapeutic challenge. Palmatine, an isoquinoline alkaloid with lipid-regulating... read more

Prediction of cyclin-dependent proteins using pre-trained protein language models and effective neural network architectures.

Analytical biochemistry Mar 21, 2026

Cyclin-dependent proteins (CDPs), including cyclins, cyclin-dependent kinases (CDKs), and cyclin-dependent kinase inhibitors (CKIs), are pivotal regulators of the eukaryotic cell cycle. Dysregulation of these proteins can lead to disrupted cell cycle... read more

Environmental impact level prediction for inorganic and organic chemicals using machine learning models and interpretability analysis.

Journal of environmental management Mar 21, 2026

The rapid proliferation of chemicals in commerce presents an urgent need for efficient and reliable assessment of their environmental impacts to support sustainable manufacturing. However, prior machine learning approaches linking chemical structures... read more

Integrated single-cell and bulk transcriptomics reveals STAB1 as a novel therapeutic target for ovarian cancer.

Translational oncology Mar 21, 2026

The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC) are primary drivers of therapeutic resistance and mortality. To deconvolute these complex dynamics and identify robust therapeutic targets, this stu... read more

Concordance of ChatGPT, Gemini, Claude, and OpenEvidence with the 2024 AAOS guidelines on acute isolated meniscal pathology.

The Knee Mar 21, 2026

PURPOSE: To evaluate the reliability and clinical applicability of the three most commonly used large language models (LLMs) (ChatGPT, Gemini, and Claude) and a domain-specific artificial intelligence (AI) platform (OpenEvidence) in providing recomme... read more

Noninvasive SARS-CoV-2 detection using a low-cost electronic nose.

The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases Mar 21, 2026

The COVID-19 pandemic highlighted the urgent need for rapid and accurate SARS-CoV-2 detection. Current diagnostic methods often suffer from discomfort, slow results, and limited accuracy in early infection stages. This study proposes a solution: a no... read more

Artificial Intelligence Medical Compendium