research MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
MultiKano accurately identifies cell types in complex data better than existing methods.
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990-1000 / 1000+ resultsresearch Differentiation stage-specific use of cap-independent and cap-dependent translation initiation in hematopoiesis
Low IRES/Cap translation is linked to higher stem cell potential.
research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
GPT-4 performs well on medical exams but still needs human doctors for critical thinking.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research An in vivo method for the detection of somatic mutations at the cellular level in mice
A new method can detect mutations in mice by observing changes in hair follicle cells.
research 034 Characterization of novel TMEM173 mutation causing a lupus- and SAVI-like phenotype, modified by polymorphisms in TMEM173 and IFIH1
A new mutation in the STING protein causes a disease with lupus-like symptoms and responds well to a specific inhibitor treatment.
research FOLLICLE IMPLANTATION TECHNIQUE IN AUTOLOGOUS HAIR TRANSPLANTATION
Aligning hair implants with natural growth patterns improves hair transplant results.
research Transgenic Flash Mice for In Vivo Quantitative Monitoring of Canonical Wnt Signaling to Track Hair Follicle Cycle Dynamics
Researchers developed a mouse model that tracks hair growth using bioluminescence, improving accuracy in studying hair cycles.
research Use of artificial intelligence to track platelet-rich plasma treatment outcomes in females with nonscarring alopecia: A case series
AI can help track and improve hair loss treatment outcomes.
research The exploration of mitochondrial‐related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer
Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.