3726 papers
BioForm-LM is a novel generative system that combines mechanistic simulation, in-context few-shot learning, and physics-informed decoding to automatically design de novo biologics formulations, significantly outperforming traditional ranking methods and random sampling on real-world benchmarks.
This study establishes that the accuracy of neuronal spike inference from calcium imaging is fundamentally limited by the information content of the optical signal itself rather than just the computational models used, demonstrating that even advanced algorithms cannot exceed an empirical performance ceiling dictated by the instrument's recording capabilities.
This study evaluates a fixed 11-gene RNA panel in extraskeletal myxoid chondrosarcoma and identifies CSPG4 as a prioritized candidate with strong but year-sensitive and comparator-dependent expression, while ultimately concluding that current evidence precludes a broadly robust claim for its therapeutic selectivity due to unresolved issues regarding normal-tissue overlap and malignant-cell localization.
This paper presents an open-source, reinforcement learning-based HVAC control system that optimizes ventilation and humidity to enhance indoor microbiome stability while reducing energy consumption, challenging current building standards that prioritize mold suppression over microbial diversity.
This exploratory controlled study demonstrates that Goldblatt renovascular hypertension in rats is associated with significant motor deficits, delayed reward-based spatial navigation, and regional brain histological abnormalities, though the lack of animal-level correlations and hippocampal tissue limits definitive causal inferences.
This paper proposes a Darwinian atomic-process simulation paradigm inspired by tabletop role-playing games, which decomposes complex systems into stochastic local steps with conditional propagation gates, demonstrating through validation against Lenski Long-Term Evolution Experiment data that this approach significantly improves the accuracy of long-horizon adaptive dynamics modeling compared to standard models.
This study introduces MOBA-seq, a high-throughput in vivo platform that quantitatively maps the genetic and microenvironmental determinants of the metastatic cascade at single-colony resolution, revealing metastatic seeding as the primary bottleneck and identifying key regulators like CREBBP in small cell lung cancer.
This study demonstrates that the critically endangered Golden Langur persists in the human-dominated agricultural landscapes of the Eastern Himalaya through flexible habitat use and the maintenance of positive local attitudes driven by cultural values, suggesting that conservation success in fragmented habitats relies more on mitigating human-wildlife conflict than on expanding wilderness areas.
In a high-density, subject-independent EEG regression setting, this ablation study demonstrates that per-sample temporal z-score normalization provides the vast majority of the predictive performance gains, rendering additional preprocessing steps like filtering, clipping, and masking statistically redundant.
This paper proposes a Developmental Stability Theory that explains the late-adolescent onset of schizophrenia as a loss of stability in perceptual hierarchies, governed by a mathematical criterion linking effective dimensionality, neural coupling, and neuromodulatory gain to multiscale mechanisms ranging from NMDA receptor dysfunction to sensory experience.