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Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). Information about amino acid sequences, protein structures, and molecular structures are fundamental data for the prediction of bioactivity of chemical compounds when screening drugs. On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modelling such as machine learning have developed rapidly. All of these types of data can be utilized in computational approaches to understand disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, and much more. In this Special Issue, we have published 8 excellent papers dedicated to a variety of computational problems in the biomedical field from the genomic level to the whole-person physiological level.

water temperature --- bathing --- ECG --- heart rate variability --- quantitative analysis --- t-test --- hypertrophic cardiomyopathy --- data mining --- automated curation --- molecular mechanisms --- atrial fibrillation --- sudden cardiac death --- heart failure --- left ventricular outflow tract obstruction --- cardiac fibrosis --- myocardial ischemia --- compound–protein interaction --- Jamu --- machine learning --- drug discovery --- herbal medicine --- data augmentation --- deep learning --- ECG quality assessment --- drug–target interactions --- protein–protein interactions --- chronic diseases --- drug repurposing --- maximum flow --- adenosine methylation --- m6A --- RNA modification --- neuronal development --- genetic variation --- copy number variants --- disease-related traits --- sequential order --- association test --- blood pressure --- cuffless measurement --- longitudinal experiment --- plethysmograph --- nonlinear regression --- n/a --- compound-protein interaction --- drug-target interactions --- protein-protein interactions

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Drug development. --- Drug resistance in microorganisms. --- Drug Development --- Drug Resistance, Microbial --- Antimicrobial Drug Resistance --- Antibiotic Resistance --- Antibiotic Resistance, Microbial --- Antimicrobial Drug Resistances --- Drug Resistances, Microbial --- Resistance, Antibiotic --- Microbial Sensitivity Tests --- Medication Development --- Pharmaceutical Development --- Computational Prediction of Drug-Target Interactions --- Drug Target Prediction --- Development, Drug --- Development, Medication --- Development, Pharmaceutical --- Drug Target Predictions --- Prediction, Drug Target --- Target Prediction, Drug --- Antibiotic resistance in microorganisms --- Antibiotics resistance in microorganisms --- Bacterial resistance to antibiotics --- Drug resistance in micro-organisms --- Microbial drug resistance --- Resistance to drugs in microorganisms --- Microorganisms --- Development of drugs --- Drugs --- New drug development --- Pharmacology --- Pharmacy --- Effect of drugs on --- Development --- Drug Resistance, Microbial.

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drug discovery --- drug delivery --- medicinal chemistry --- drug development and commercialization --- translational science --- cell therapy --- Pharmacy --- Drug development --- Drugs --- Drug development. --- Drug Discovery. --- Drug Development. --- Research --- Design --- Testing --- Design. --- Testing. --- Research. --- Medication Development --- Pharmaceutical Development --- Computational Prediction of Drug-Target Interactions --- Drug Target Prediction --- Development, Drug --- Development, Medication --- Development, Pharmaceutical --- Drug Target Predictions --- Prediction, Drug Target --- Target Prediction, Drug --- Drug Prospecting --- Discovery, Drug --- Prospecting, Drug --- High-Throughput Screening Assays --- Bioprospecting --- Clinical drug trials --- Clinical trials of drugs --- Drug bioscreening --- Drug trials --- Clinical pharmacology --- Drug design --- Pharmaceutical design --- Development of drugs --- New drug development --- Pharmacology --- Medicaments --- Medications --- Medicine (Drugs) --- Medicines (Drugs) --- Pharmaceuticals --- Prescription drugs --- Bioactive compounds --- Medical supplies --- Pharmacopoeias --- Chemotherapy --- Materia medica --- Chemistry --- Medicine --- Clinical trials --- Effectiveness --- Evaluation --- Development --- Drug Discovery --- Drug Development

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Biochemical markers. --- Personalized medicine. --- Drug development. --- Drug Discovery. --- Biomarkers. --- Drug Development. --- Precision Medicine. --- Biologic markers --- Biological markers --- Biomarkers --- Markers, Biochemical --- Biochemistry --- Indicators (Biology) --- P Health --- P-Health --- Personalized Medicine --- Individualized Medicine --- Medicine, Individualized --- Medicine, Personalized --- Medicine, Precision --- P-Healths --- Pharmacogenomic Variants --- Pharmacogenetics --- Patient-Specific Modeling --- Medication Development --- Pharmaceutical Development --- Computational Prediction of Drug-Target Interactions --- Drug Target Prediction --- Development, Drug --- Development, Medication --- Development, Pharmaceutical --- Drug Target Predictions --- Prediction, Drug Target --- Target Prediction, Drug --- Biochemical Marker --- Biologic Marker --- Biologic Markers --- Clinical Marker --- Immune Marker --- Immune Markers --- Immunologic Marker --- Laboratory Marker --- Marker, Biochemical --- Marker, Biological --- Marker, Clinical --- Marker, Immunologic --- Marker, Laboratory --- Marker, Serum --- Marker, Surrogate --- Serum Marker --- Surrogate End Point --- Surrogate End Points --- Surrogate Endpoint --- Surrogate Endpoints --- Surrogate Marker --- Viral Marker --- Biochemical Markers --- Biological Markers --- Clinical Markers --- Immunologic Markers --- Laboratory Markers --- Markers, Biological --- Markers, Clinical --- Markers, Immunologic --- Markers, Laboratory --- Markers, Serum --- Markers, Surrogate --- Markers, Viral --- Serum Markers --- Surrogate Markers --- Viral Markers --- Biological Marker --- End Point, Surrogate --- End Points, Surrogate --- Endpoint, Surrogate --- Endpoints, Surrogate --- Marker, Biologic --- Marker, Immune --- Marker, Viral --- Markers, Biologic --- Markers, Immune --- Molecular Probes --- Endophenotypes --- Drug Prospecting --- Discovery, Drug --- Prospecting, Drug --- High-Throughput Screening Assays --- Bioprospecting --- Development of drugs --- Drugs --- New drug development --- Pharmacology --- Pharmacy --- Individualized medicine --- Medical care --- Development --- Theranostics --- Predictive Medicine --- Medicine, Predictive --- Theranostic --- Biomarker --- Precision medicine. --- Personalized medicine