Pacific Symposium on Biocomputing 2023 Kohala Coast, Hawaii, USA, 3 - 7 January 2023

Subjects: “…Life Sciences / Biology;Bioinformatics / Biocomputing / Computational Biology…”
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Actinobacteria Basics and Biotechnological Applications

Subjects: “…actinomycetes, bioremediation, bioinformatics, biofuel, secondary metabolites, photocatalysis…”
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Farm Animals Diseases, Recent Omic Trends and New Strategies of Treatment

Subjects: “…genomics, pathogens, vaccines, natural products, microbiome, bioinformatics…”
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Electrophoresis Life Sciences Practical Applications

Subjects: “…proteomics, mass spectrometry, bioinformatics, embryo, zeta potential, mammals…”
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Canine Genetics, Health and Medicine

Subjects: “…dogs, echinococcus granulosus, cancer, fungi, bioinformatics, breeding…”
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Statistical Population Genomics

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Statistical Population Genomics

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Bioimage Data Analysis Workflows

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Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

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Patient Privacy, Consent, and Identity Management in Health Information Exchange Issues for the Military Health System by Hosek, Susan D.

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Structural Health Monitoring Measurement Methods and Practical Applications

Subjects: “…Medical bioinformatics bicssc…”
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Heuristics and Hyper-Heuristics Principles and Applications

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Proceedings of the Conference on Design and Semantics of Form and Movement Sense and Sensitivity, DeSForM 2017

Subjects: “…Medical bioinformatics bicssc…”
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Breast Imaging

Subjects: “…Medical bioinformatics bicssc…”
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Assistive Technologies in Smart Cities

Subjects: “…Medical bioinformatics bicssc…”
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New Trends on Genome and Transcriptome Characterizations by Vincenzo Manca

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Multivariate Statistical Machine Learning Methods for Genomic Prediction by Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

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Quantifying Quality of Life Incorporating Daily Life into Medicine /

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Systems Biology Functional Strategies of Living Organisms / by Konieczny, Leszek, Roterman-Konieczna, Irena, Spólnik, Paweł

Subjects: “…Bioinformatics.…”
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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences Best Practices and Pitfalls /

Table of Contents: “…Predictive Analytics -- Machine Learning -- Artificial Intelligence -- Data Mining -- Clinical Risk Models -- Clinical Risk Stratification -- Data Science -- Causal Discovery -- Causal Inference -- Causal Discovery in Health Sciences -- Causal Inference In Health Sciences -- Ehr Data Analytics -- Medical Knowledge Discovery -- Biomedical Machine Learning -- Biomedical Artificial Intelligence -- Healthcare Machine Learning -- Healthcare Artificial Intelligence -- Translational Science Machine Learning -- Machine Learning for Biological Discovery -- Machine Learning in Bioinformatics -- Machine Learning in Genomics.…”
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