AI Medical Compendium

SIRT1 Downregulation by Advanced Glycation End Products Activates RANKL-Dependent Osteoclast Signaling and Drives Chondrocyte Senescence During Osteoarthritis Development.

Aging cell May 1, 2026

Advanced glycation end products (AGEs) accumulate with aging and metabolic stress and are increasingly implicated in osteoarthritis (OA) pathology. However, how AGEs regulate osteoclast-chondrocyte signaling remains poorly defined. Here, we integrate... read more

Psychological resilience as a selective perceptual amplifier in post-crisis learning: a dual-pathway model of academic motivation, perceived school support, and cognitive engagement - a multi-country study based on PISA 2022.

BMC psychology May 1, 2026

BACKGROUND: The global educational crisis triggered by the COVID-19 pandemic has posed persistent challenges to students' deep learning. Understanding the mechanisms through which academic motivation (AM) and perceived school support (PSS) translate ... read more

Artificial Intelligence-Based Identification of Common Canine Skin Lesions From Clinical Images.

Veterinary dermatology May 1, 2026

BACKGROUND: Accurate evaluation of skin lesions is an essential component of dermatological examination, yet it can be time-consuming and subject to interobserver variability. While artificial intelligence (AI) models have shown reliability in diagno... read more

AI-Driven Hemodynamic Detection of Self-Induced Daydreaming With EMG-Based Physiological Triggers During Pre- and Post-Prandial States Using fNIRS and EGG.

CNS neuroscience & therapeutics May 1, 2026

BACKGROUND: Daydreaming can be monitored either to avoid it while doing hands-on tasks or to enhance it to foster creativity. Although significant research has been conducted in Brain recordings and Machine learning, some problems have not received s... read more

Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance.

The New phytologist May 1, 2026

Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to anthropogenic factors and the accumulation of CO2. Rising temperatures, frequent droughts, and elevated CO2 levels are reducing crop ... read more

A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease.

Movement disorders : official journal of the Movement Disorder Society May 1, 2026

BACKGROUND: Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural imag... read more

Synthetic inducible bacteria normalize the microenvironment of refractory tumors, potentiating checkpoint inhibitor responses.

Molecular cancer therapeutics May 1, 2026

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironment (TME). A dense/stiff extracellular matrix (ECM) can hinder immune cell infiltration, limiting the... read more

Evaluation of ChatGPT's and Gemini's Ability to Find Studies About Neurosurgical Training and Trainees' Anatomy Understanding.

ANZ journal of surgery May 1, 2026

BACKGROUND: There is a lack of research about artificial intelligence's potential to explore neurosurgical literature. We aimed to investigate ChatGPT's and Gemini's ability to identify and outline studies about neurosurgical training and trainees' a... read more

Predicting Prognosis for Gastric Cancer Patients Receiving Neoadjuvant Treatment With Body Composition-Based Deep Learning.

Cancer medicine May 1, 2026

BACKGROUND: This study sought to develop an innovative body composition (BC)-based deep learning (DL) model to precisely evaluate survival in gastric cancer (GC) patients undergoing neoadjuvant treatment (NT). MATERIALS AND METHODS: This retrospectiv... read more

Extraction of Acoustic Features via Empirical Wavelet Transform to Determine Stenosis Degree of the Left Anterior Descending Artery Based on the Diastolic Heart Sounds of 75 Participants.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc May 1, 2026

OBJECTIVES: This study aimed to develop a method for extracting acoustic features to assess left anterior descending artery (LAD) stenosis severity. METHODS: Heart sound data were collected from 75 participants (10 diastoles per participant) using a ... read more

Artificial Intelligence Medical Compendium