research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
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research From industry 4.0 to lab 4.0
Industry 4.0 is transforming labs with new tools, making research more efficient and environmentally friendly.
research Progress in computer-assisted function analysis
research 944 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
research Molecular Engineering of Recombinant Protein Hydrogels: Programmable Design and Biomedical Applications
Engineered protein hydrogels improve medical treatments by mimicking natural body structures.
research Spatial and single-cell transcriptomics unravel the complex interplay between the body and medical implants
New technologies help us understand how the body reacts to medical implants, which can improve implant performance.
research 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research A Nonredundant Human Protein Chip for Antibody Screening and Serum Profiling
The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
research The multifaceted role of hair as a biospecimen: recent advances in precision medicine and forensic science
Hair analysis is valuable for health and forensics but faces challenges like growth variability and contamination.
research Advances in single-cell transcriptomics in animal research
Single-cell transcriptomics helps improve animal health and productivity by studying gene expression in individual cells.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.
research Proteomic Analysis of Single Hairs
Hair proteins are complex and provide valuable genetic and biological information.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
research Modeling animal genomics in mice: An authentic approach for the functional interrogation of evolutionarily and agriculturally critical variants
Mouse models are essential for studying and improving genetic traits in agriculture.
research Compilation of a comprehensive gene panel for systematic assessment of genes that govern an individual’s drug responses
Researchers found that most genes affecting drug responses are not fully covered by commercial SNP chips, suggesting the need for more comprehensive tools to optimize drug selection based on genetics.
research The role of 3Rs in the age of One Health: where we are and where we’re going
Innovative methods are reducing animal testing and improving biomedical research.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
research Biomedical applications of organoids in genetic diseases
Organoids help study and treat genetic diseases, offering personalized medicine and therapy testing.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research Bioinspired Polymers: Transformative Applications in Biomedicine and Regenerative Medicine
Bioinspired polymers are promising for advanced medical treatments and tissue repair.
research The post-terminal differentiation fate of RNAs revealed by next-generation sequencing
Hair and nails contain stable RNA, useful for personalized medicine and screening.
research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
research Pangenome and genome variation analyses of pigs unveil genomic facets for their adaptation and agronomic characteristics
Pangenome analysis reveals key genes for pig adaptation and traits, aiding genetic improvement.
research Dimensions of drug information
A new method organizes drug information to improve data use and create a comprehensive drug database.
research Ocular aspects in biotinidase deficiency Clinical and genetic original studies
Early diagnosis and treatment of biotinidase deficiency are crucial to prevent vision problems.
research BIOBOARD
In 2011, there were major scientific breakthroughs in cancer treatment, immunity, Parkinson's, virus simulation, schizophrenia, hair growth, lung cancer, and medical grafts.