Latest AI and machine learning research in autism for healthcare professionals.
Quantifying animal behavior is pivotal for identifying the underlying neuronal and genetic mechanisms involved. Computational approaches have enabled automated analysis of complex behaviors such as aggression and courtship in Drosophila. However, existing approaches rely on rigid, rule-based algorithms and expensive hardware, limiting sensitivity to behavioral variations and accessibility. Here, w...
Aberrant biomolecular condensates are implicated in multiple incurable neurological disorders, including Amyotrophic Lateral Sclerosis, Frontotemporal Dementia, and DYT1 dystonia. However, the role of condensates in driving disease etiology remains incompletely understood. Here, we establish myeloid leukemia factor 2 (MLF2) as a disease-agnostic biomarker of phase transitions. Using MLF2 as a high...
The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitnes...
Neural circuits emerge during development through dynamic interactions between genetic instructions and environmental cues that shape cell fate, conne...
Microbiota transplant therapy (MTT) is a promising avenue for the substantial improvement of gastrointestinal and behavioral symptoms in children with...
In hematology/oncology clinics, molecular diagnostics based on nucleic acid sequencing or hybridization are routinely employed to detect malignancy-as...
Kinases are enzymes that catalyze phosphorylation and play crucial roles in a myriad of cellular regulatory processes and hemostasis. Patient-specific...
Life is sustained by the dynamic flow of energy through adenosine triphosphate (ATP), redox carriers such as NADH, and reactive oxygen species (ROS). ...
Predicting symptom onset in genetic frontotemporal dementia (FTD) is crucial for advancing targeted interventions and clinical trial design. Brain cha...
Proper brain function requires the assembly and function of diverse populations of neurons and glia. Single cell gene expression studies have mostly f...
Single cell genetic perturbation modeling involves predicting the effects of unobserved genetic manipulations, enabling scalable in silico screens for...
Secondary metabolites in plants have various physiological functions, including antioxidant and antibacterial activities. Previous studies have sugges...
The rapid evolution of DNA foundation models promises to revolutionize genomics, yet comprehensive evaluations are lacking. Here, we present a compreh...
Neuronal activity shapes brain development and refines synaptic connectivity in part through dynamic changes in gene expression. While activity-regula...
Fine-mapping methods, which aim to identify genetic variants responsible for complex traits following genetic association studies, typically assume th...
Each stage of neuronal development (i.e., proliferation, differentiation, migration, neurite outgrowth and synapse formation) requires functional and ...
Single-cell perturbation sequencing technologies (e.g., Perturb-seq, CROP-seq), which integrate CRISPR-based gene editing with single-cell transcripto...
Joint pain is an increasing concern for our aging population, as current therapies to slow joint disease progression or reduce pain are largely ineffe...
Prochlorococcus is a cyanobacterial genus that exhibits photosynthetic capacity and remarkable genetic diversity. We analyze how Prochlorococcus genom...
Context-specific protein-protein interaction (PPI) drive heterogeneity of primary tumor, forming a formidable challenge to effective cancer therapy. H...