Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Feb 3, 2026
Biological age may better predict health outcomes than chronological age by capturing individual heterogeneity in aging. We investigated whether accelerated spine aging, estimated from DXA vertebral fracture assessment (VFA) using deep learning, pred... read more
Traditional soft robotic grippers often lack the structural rigidity required to maintain stable poses under external forces, as well as the fine control and precision offered by rigid grippers or conventional robotic hands. These limitations are par... read more
Chemical communications (Cambridge, England)
Feb 3, 2026
To identify new ligands for positron emission tomography imaging of α-synuclein aggregates, we developed a machine learning model trained on <300 binding measurements. We used scaffold-guided curation to select a 30 compound prospective set from a 14... read more
Objective. Epilepsy is a chronic brain disorder characterized by recurrent seizures due to abnormal neuronal firing. Electroencephalogram (EEG)-based seizure classification has become an important auxiliary tool in clinical practice. This study aims ... read more
The analysis of spatial transcriptomics is hindered by high noise levels and missing gene measurements, challenges that are further compounded by the higher cost of spatial data compared to traditional single-cell data. To overcome this challenge, we... read more
Journal of chemical information and modeling
Feb 3, 2026
Because of their ultrahigh porosity and tunable chemistry, metal-organic frameworks (MOFs) have emerged as leading candidates for gas adsorption applications. Nevertheless, their combinatorial nature induces a vast chemical space, challenging traditi... read more
STUDY QUESTION: Can precise trajectory smoothing improve extraction of sperm motility features, and can deep learning on raw trajectory data enable accurate classification of sperm motility patterns? SUMMARY ANSWER: We present an approach that enhanc... read more
Auditory-evoked EEG signals contain rich temporal and cognitive features that reflect both the identity of individuals and their neural response to external stimuli. Traditional unimodal approaches often fail to fully leverage this multidimensional i... read more
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