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Hierarchical Working Memory and a New Magic Number
The extremely limited working memory span, typically around four items, contrasts sharply with our everyday experience of processing much larger streams of sensory information concurrently. This disparity suggests that working m ... Read More >
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Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular U ...
Artificial intelligence (AI) is increasingly used in every stage of drug development. One challenge facing drug discovery AI is that drug pharmacokinetic (PK) datasets are often collected independently from each other, often wit ... Read More >
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The mechanical properties of nerves, the size of the action potential, and conse ...
The action potential is widely considered a purely electrical phenomenon. However, one also finds mechanical and thermal changes that can be observed experimentally. In particular, nerve membranes become thicker and axons contra ... Read More >
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Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based down ...
The application of machine learning to transcriptomics data has led to significant advances in cancer research. However, the high dimensionality and complexity of RNA sequencing (RNA-seq) data pose significant challenges in pan- ... Read More >
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The gene function prediction challenge: large language models and knowledge grap ...
Elucidating gene function is one of the ultimate goals of plant science. Despite this, only ~15% of all genes in the model plant Arabidopsis thaliana have comprehensively experimentally verified functions. While bioinformatical ... Read More >
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On Networks and their Applications: Stability of Gene Regulatory Networks and Ge ...
We prove that nested canalizing functions are the minimum-sensitivity Boolean functions for any activity ratio and we determine the functional form of this boundary which has a nontrivial fractal structure. We further observe th ... Read More >
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Physics-informed graph neural networks for flow field estimation in carotid arte ...
Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement of these quantities can only be performed using a select number of modalities th ... Read More >
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A Sympathetic Nervous System Theory of Migraine
Migraine (MGR) ranks first among diseases in terms of years of lost healthy life in young adult and adult women. Currently, there is no theory of MGR. This paper presents a complete theory of migraine that explains its etiology, ... Read More >
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A Dynorphin Theory of Depression and Bipolar Disorder
Major depressive disorder (MDD) is a debilitating health condition affecting a substantial part of the world's population. At present, there is no biological theory of MDD, and treatment is partial at best. Here I present a theo ... Read More >
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A CRH Theory of Autism Spectrum Disorder
This paper presents a complete theory of autism spectrum disorder (ASD), explaining its etiology, symptoms, and pathology. The core cause of ASD is excessive stress-induced postnatal release of corticotropin-releasing hormone (C ... Read More >