Sparse sampling hinders high-precision electromagnetic environment map reconstruction, crucial for spectrum management and situation awareness. To overcome the limitations of traditional interpolation and single-model deep learning, we propose a hybr... read more
Accurate identification of swim bouts is essential for decoding motor responses in larval zebrafish, yet conventional threshold-based methods rely on subjective cutoffs and per-experiment tuning. To overcome these limitations, we developed threshold-... read more
The understanding of how transcriptional programs give rise to cellular morphology, and how morphological features reflect and influence cell identity and function remains limited. This is due in part to the lack of large-scale datasets pairing the t... read more
Non-negative matrix factorization (NMF) is a foundational dimensionality-reduction method in single-cell transcriptomics, valued for its interpretable gene programs. However, in case-control settings common in perturbation and disease research, stand... read more
Live-cell microscopy restoration is constrained by a trade-off between inference latency and texture preservation. While diffusion models provide high textural fidelity, the computational cost of iterative sampling currently limits their use in low-l... read more
Intrinsically disordered proteins (IDPs) lack stable three-dimensional structures, yet play vital roles in key biological processes, including signaling, transcription regulation, and molecular scaffolding. Their structural flexibility presents signi... read more
Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and adaptability to varied agro-climatic conditions with potential for cultivation in European and Mediterranean, particularly on marginal lands. Low tem... read more
Oral medications can be bioaccumulated or metabolised by gastrointestinal bacteria in a process collectively termed drug depletion. The precise biological mechanisms governing strain-specific depletion remain poorly understood, and systematic experim... read more
Individuals with post-stroke aphasia live with long-term disabilities, yet they do not know whether they will improve their communication and cognitive skills over time. We propose a "Therapy Calculator" to provide patients with a better understandin... read more
Foundation models trained on patient electronic health records (EHRs) hold promise for transforming clinical care by enabling effective decision support and personalized healthcare delivery, but have been limited by a focus on intensive care objectiv... read more
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