Neuroinformatics for Drug Discovery: Data-Driven Approaches to Understand and Treat Brain Diseases

K Jhansi

Acheter 2,49 €
+ 2 points
Langue:
Ebook en anglais
ISBN:
9798232047948
Date de parution:
29-09-25
Editeur:
K Jhansi
Format:
Ebook
Format Détaillé:
EPUB
Protection digitale:
/

Description

Neuroinformatics for Drug Discovery: Data-Driven Approaches to Understand and Treat Brain Diseases is an exciting, student-written guide that explores how computational science, bioinformatics, and big data analytics are revolutionizing the discovery of new brain therapies. Authored by Kompala Jhansi, this book integrates neuroscience 🧠, machine learning 🤖, and systems biology 🔬 in a way that makes even the most advanced concepts both accessible and inspiring.

Written from the perspective of a student researcher, it spans 12 comprehensive chapters covering essential tools, computational pipelines, and real-world case studies. Readers will explore technical areas such as multi-omics data integration (genomics, proteomics, neuroimaging), AI-driven predictive modeling, virtual screening for CNS-active compounds, and CRISPR-based genome editing 🧬. Designed for undergraduates, graduate students, and early-career researchers, the book highlights how data-driven strategies are accelerating translational research for disorders like Alzheimer's, Parkinson's, ALS, and Huntington's.

✨ Key areas for researchers & scientists:

📊 Multi-scale brain data integration → combining omics, imaging, and clinical datasets 🤖 Machine learning models → diagnostics, biomarker discovery, and drug design 🔗 Network biology approaches → drug repurposing & target prioritization 🧪 Clinical trial stratification → precision medicine through data clustering 🧬 CRISPR & genome editing → next-gen therapeutic strategies for CNS diseases ⚖️ Ethics & data governance → ensuring patient data security and trustworthy AI

💡 More than just a technical handbook, this book also reflects a student's research journey through collaborative projects and internships—offering inspiration for young scientists to develop explainable, trustworthy AI systems that translate into real-world therapeutic impact. By the end, readers will gain not only cutting-edge knowledge but also the motivation to contribute toward a future where neurodegenerative disorders are decoded and treated through data-driven innovation.