Ethical Issues in AI for Bioinformatics and Chemoinformatics 1st Edition

Grab your copy of Ethical Issues in AI for Bioinformatics and Chemoinformatics, 1st Edition by Yashwant Pathak, Surovi Saikia, Sarvadaman Pathak, Jayvadan Patel, and Jigna Prajapati — a timely, practical guide that addresses the ethical crossroads of machine learning, genomics, and molecular informatics.

This carefully structured volume draws readers into the pressing debates surrounding AI-driven life science research. It explores data privacy and consent in genomic datasets, algorithmic bias in predictive models, transparency and reproducibility in chemoinformatics workflows, and intellectual-property and regulatory challenges across India and global jurisdictions (EU, USA, and Asia). Rich with real-world examples and policy-aware analysis, the book translates complex ethical theory into actionable guidance for researchers and decision‑makers.

Ideal for bioinformaticians, cheminformaticians, healthcare AI developers, academic instructors, and policy makers, this first edition helps professionals design responsible AI systems, meet compliance requirements, and anticipate societal impact. Practical sections on risk assessment, governance frameworks, and best practices for model validation make it a go-to resource for labs, industry teams, and university courses.

Clear, authoritative, and forward-looking, this book balances technical insight with ethical nuance—helping you build trustworthy AI solutions in genomics and drug discovery. Enhance your library with a resource that speaks to both global standards and regional realities.

Order your copy today to stay informed, compliant, and ethically accountable in the rapidly evolving intersection of AI, bioinformatics, and chemoinformatics.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.