Menopause

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 cortisol non-invasively offers significant potential for real-time stress monitoring and healthcare applications. Biosensors capable of binding cortisol can thus enable the development of novel diagnostic platforms for personalised health management. In...

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 3D pipeline in clinical samples that uses deep learning to classify sensitive and persistent tumor cell populations based on morphological features, enabling subsequent molecular characterization of intratumoral heterogeneity. We applied this automate...

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...

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....

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 ...

Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging

Astronomical imaging remains noise-limited under practical observing constraints, while standard calibration pipelines mainly remove structured artifa...

Breast cancer radiogenomics analysis via computational perturbation on AI-driven multi-omics guided image synthesis

Radiogenomics offers a promising non-invasive approach for characterizing breast cancer (BC), yet its progress is often limited by the scarcity of coh...

Accurate Stride Length Prediction from Proximal IMU Sensors Using a Compact Linear Model

Objective: Accurate stride length measurement is essential for assessing functional mobility, yet gold-standard methods remain confined to laboratory ...

Retrospective multi-cohort validation of a real-world transcriptomics-guided machine learning model for treatment response prediction in breast cancer

Selection of systemic therapy for breast cancer remains largely empirical, particularly for chemotherapy, due to the lack of robust biomarkers that pr...

Evaluating the added value of salivary hormones in the context of menstrual cycle staging: A machine learning approach and app-implementation.

OBJECTIVE: Salivary hormone assessment is commonly used in menstrual cycle studies, but its validity for accurate menstrual cycle staging has been que...