bioRxiv

Showing 3121 to 3130 of 4993 articles

Anatomy-aware, label-informed approach improves image registration for challenging datasets

bioRxiv
Image registration-based volumetric morphometrics have emerged as a valuable method for identifying subtle morphological differences in neuroimaging and other biomedical images. However, accurate registration out-of-the-box remains challenging when o...

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells

bioRxiv
Existing breast cancer risk models inadequately identify individuals at latent risk, particularly among women without known genetic mutations or family history. Risk is often underestimated or overestimated due to reliance on population-level data an...

Gender Differences in Lower Body Biomechanics: Insights from High-Resolution Motion Capture for Computer Vision and Assistive Technologies

bioRxiv
This study systematically investigates gender differences in lower body biomechanics using high-resolution motion capture data from male and female participants. Analysis of the collected kinematic data revealed distinct biomechanical patterns driven...

Non-polio enteroviruses compromise the electrophysiology of a human iPSC-derived neural network

bioRxiv
The non-polio enteroviruses enterovirus-D68 (EV-D68) and enterovirus-A71 (EV-A71) are highly prevalent and considered pathogens of increasing health concern. While most enterovirus infections are mild and self-limiting, severe complications ranging f...

Extracting biological structure and heterogeneity from the nano to the macro scale

bioRxiv
Fluorescence microscopy is an essential tool in biology. It has revealed great variability at multiple scales, in macromolecular complexes, cells, and organisms. Understanding this variability will reveal the mechanisms by which genetically or bioche...

Robust spatial hearing beyond primary interaural cues in humans over deep neural networks

bioRxiv
Spatial hearing allows humans to localize sound sources in the azimuth plane using interaural time (ITD) and level (ILD) differences, but the contribution of additional auditory features remains unclear. To investigate this, we measured human localiz...

Cerebral Organoids Uncover Mechanisms of Neural Activity Changes in Epileptogenesis

bioRxiv
Neurological disorders often originate from progressive brain network dysfunctions that start years before symptoms appear. How these changes emerge in the developing human brain remains elusive due to a lack of tractable model systems. Here, we show...

ESPWA: a deep learning-enabled tool for precision-based use of endocrine therapy in resource-limited settings

bioRxiv
Cancer morbidity disproportionately affects patients in low- and middle-income countries (LMICs), where timely and accurate tumor profiling is often nonexistent. Immunohistochemistry-based assessment of estrogen receptor (ER) status, a critical step ...

Interpreting Sleep Activity Through Neural Contrastive Learning

bioRxiv
Memories are spontaneously replayed during sleep, a process thought to support memory consolidation. However, capturing this replay in humans has been challenging because unlike wakefulness, sleep EEG is dominated by slow, rhythmic background activit...

DirectContacts2: A network of direct physical protein interactions derived from high-throughput mass spectrometry experiments

bioRxiv
Cellular function is driven by the activity proteins in stable complexes. Protein complex assembly depends on the direct physical association of component proteins. Advances in macromolecular structure prediction with tools like AlphaFold and RoseTTA...