AI Medical Compendium

Autonomous inverse modeling of complex groundwater systems via a physics-integrated large language model multi-agent framework.

Water research Apr 5, 2026

Inverse modeling of groundwater flow and transport in subsurface systems is fundamentally restricted by the conceptual-numerical gap, where translating hydrogeological hypotheses into executable simulation codes remains a labor-intensive process. Whi... read more

Predictive neuroimaging biomarkers of major depressive disorder treatment response: An umbrella review.

Psychiatry and clinical neurosciences Apr 5, 2026

Major depressive disorder (MDD) is a heterogeneous condition with varied responses to pharmacological, psychotherapeutic, and neuromodulation interventions. Identifying neuroimaging biomarkers predictive of treatment response could facilitate persona... read more

Construction of chronic inflammation and mitochondrial energy metabolism-associated predictive and therapeutic models for lung adenocarcinoma patients.

Discover oncology Apr 5, 2026

Integration of multi-omics and machine learning to identify core genes in PANoptosisof lung adenocarcinoma and their mechanisms in the tumor microenvironment and therapeutic potential.

Naunyn-Schmiedeberg's archives of pharmacology Apr 5, 2026

Lung adenocarcinoma (LUAD) is one of the leading causes of cancer-related deaths worldwide, and its complex tumor microenvironment (TME) is a key barrier to treatment. PANoptosis is a novel programmed cell death mechanism that integrates features of ... read more

Integrative multi-omics identifies a diagnostic T cell signature for cutaneous squamous cell carcinoma.

Naunyn-Schmiedeberg's archives of pharmacology Apr 5, 2026

Cutaneous squamous cell carcinoma (cSCC) involves complex immune interactions. This study aimed to identify a T cell-related gene signature to characterize the immune landscape and aid in molecular diagnosis. We integrated single-cell RNA sequencing ... read more

Quantum-inspired fused explainable deep learning framework for early enamel caries classification in intraoral photographs.

Odontology Apr 5, 2026

The visual detection of early enamel caries in intraoral photographs is challenging due to subtle lesion appearance and diagnostic subjectivity. This study aimed to develop and validate an explainable, quantum-simulated deep learning framework for th... read more

Deep learning-enhanced data-driven gating improves FDG PET/CT clinical image quality.

EJNMMI physics Apr 5, 2026

Tokenizing loops of antibodies.

mAbs Apr 5, 2026

The complementarity-determining regions (CDRs) of antibodies are loop structures that are key to their interactions with antigens and are of high importance to the design of novel biologics. Existing approaches for characterizing the diversity of CDR... read more

[Simulated consciousness, pseudo-empathy and the illusion of attachment: what can psychiatry do with artificial intelligence?].

Orvosi hetilap Apr 5, 2026

Over the past decade, the burden of mental disorders has grown while services remain capacity-constrained, pushing generative artificial intelligence toward psychiatric practice. This narrative review outlines how large language and multimodal models... read more

Artificial Intelligence-Based Perioperative Risk Assessment for Elderly Patients Undergoing Inguinal Hernia Repair in a Resource-Limited Setting.

World journal of surgery Apr 5, 2026

Artificial Intelligence Medical Compendium