Menopause

Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification

Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA), which quantifies areal bone mineral density but overlooks bone microarchitecture and surrounding soft tissues. High-resolution peripheral quantitative computed tomography (HR-pQCT) enables three-dimensional microstructural imaging with minimal radiation. However, current analysis pipelines largely ...

Conversational Artificial Intelligence-Enabled Molecular Characterization of Sezary Syndrome Reveals Distinct Pathway-Level Alterations Compared with Non-Sezary Cutaneous T-Cell Lymphoma

ABSTRACT Background: Sezary syndrome (SS) represents an aggressive leukemic variant of cutaneous T-cell lymphoma (CTCL) with distinct clinical behavior compared with other CTCL subtypes. While prior studies have identified recurrent genomic alterations in CTCL, a systematic pathway-centric comparison between SS and non-SS CTCL remains limited. We applied our conversational artificial intelligence ...

Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging

Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA), which quantifies areal bone mineral density but o...

AI-Driven Generation of Cortisol-Binding Peptides for Non-Invasive Stress Detection

Cortisol is a primary biomarker of stress, released in sweat at concentrations that directly correlate with physiological stress levels. Detecting cor...

Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer

Resistance to systemic therapy is a major unmet challenge in pancreatic cancer. To identify potential mechanisms of resistance, we developed a novel 3...

Bridging the gap between Performance and Interpretability: An Explainable Disentangled Multimodal Framework for Cancer Survival Prediction

While multimodal survival prediction models are increasingly more accurate, their complexity often reduces interpretability, limiting insight into how...

Parkinson's Disease motor and non-motor progression models emerge from pathway-level transcriptomics

Background Prognosis and therapeutic management in Parkinson's disease is a challenging task by its highly heterogeneous disease progression and sympt...

A Data-Driven Approach to Support Clinical Renal Replacement Therapy

This study investigates a data-driven machine learning approach to predict membrane fouling in critically ill patients undergoing Continuous Renal Rep...

Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion

Cardiovascular disease is the primary cause of death globally, necessitating early identification, precise risk classification, and dependable decisio...

Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction

Clinical risk prediction models often underperform in real-world settings due to poor calibration, limited transportability, and subgroup disparities....

A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography

Coronary artery calcium (CAC) scoring is a key predictor of cardiovascular risk, but it relies on ECG-gated CT scans, restricting its use to specializ...

Gender-Specific Osteoporosis Risk Prediction Using Longitudinal Clinical Data and Machine Learning

Osteoporosis is a silent yet debilitating disease that often remains undetected until fractures occur. While early prediction is crucial, most studies...

Identifying Reasons for ACEI/ARB Non-Use in CKD Using Scalable Clinical NLP with Schema-Guided LLM Augmentation

IMPORTANCE: Although angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are recommended for people with chronic...

Automated Monitoring of Insects system: Building a non-lethal and scalable solution for monitoring of nocturnal insects

There is growing evidence that human-induced climate change and habitat loss are having negative impacts on insect populations. New technologies have ...

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis

Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radiologic images. This paradigm of opportunistic imag...

SpliceRead: Improving Canonical and Non-Canonical Splice Site Prediction with Residual Blocks and Synthetic Data Augmentation

Accurate splice site prediction is fundamental to understanding gene expression and its associated disorders. However, most existing models are biased...

Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures

Facial age estimation is critical for content moderation, age verification, and deepfake detection, yet no prior benchmark has systematically compared...

DICE: Disentangling Artist Style from Content via Contrastive Subspace Decomposition in Diffusion Models

The recent proliferation of diffusion models has made style mimicry effortless, enabling users to imitate unique artistic styles without authorization...

Estimating Gait Kinematics from Muscle Activity Using Deep Learning in Typically Developing Children

Instrumented gait assessment in pediatric populations is often constrained by the complexity and lack of portability of traditional motion capture sys...

Brainstem neurons coordinate the bladder and urethral sphincter for urination

Urination, a vital and conserved process of emptying urine from the urinary bladder in mammals, requires precise coordination between the bladder and ...