Invitation to Submit Chapters for ๐€๐ˆ-๐ƒ๐ซ๐ข๐ฏ๐ž๐ง ๐๐ก๐š๐ซ๐ฆ๐š๐œ๐จ๐ฅ๐จ๐ ๐ฒ, ๐“๐จ๐ฑ๐ข๐œ๐จ๐ฅ๐จ๐ ๐ฒ, ๐š๐ง๐ ๐ƒ๐ซ๐ฎ๐  ๐’๐š๐Ÿ๐ž๐ญ๐ฒ: ๐„๐ฆ๐ž๐ซ๐ ๐ข๐ง๐  ๐Œ๐ž๐ญ๐ก๐จ๐๐ฌ, ๐‘๐ž๐ ๐ฎ๐ฅ๐š๐ญ๐จ๐ซ๐ฒ ๐“๐ซ๐ž๐ง๐๐ฌ, ๐š๐ง๐ ๐€๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ

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Prasanalakshmi Balaji

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Dec 5, 2025, 4:16:51โ€ฏPMย (11 days ago)ย Dec 5
to Women in Machine Learning

Dear Professors/Researchers,

Greetings of the day!

We are pleased to invite you to participate in the IGI Global Scientific Publishing (SCOPUS Indexing), unpublished Book Chapters on the following topics.

๐ถโ„Ž๐‘Ž๐‘๐‘ก๐‘’๐‘Ÿ๐‘  ๐‘–๐‘›๐‘ฃ๐‘–๐‘ก๐‘’๐‘‘ ๐‘œ๐‘› ๐‘กโ„Ž๐‘’ ๐‘“๐‘œ๐‘™๐‘™๐‘œ๐‘ค๐‘–๐‘›๐‘” ๐‘ก๐‘œ๐‘๐‘–๐‘๐‘  (๐‘๐‘ข๐‘ก ๐‘›๐‘œ๐‘ก ๐‘™๐‘–๐‘š๐‘–๐‘ก๐‘’๐‘‘ ๐‘ก๐‘œ):
๐’๐ž๐œ๐ญ๐ข๐จ๐ง ๐ˆ. Foundations and Regulatory Landscape
Introduction: The Rise of AI in Drug Discovery and Safety Assessment
Regulatory Paradigm Shift: NAMs, AI, and Global Moves to Reduce Animal Testing
Ethical, Legal, and Data Governance Challenges in AI-Enabled Toxicology
๐’๐ž๐œ๐ญ๐ข๐จ๐ง ๐ˆ๐ˆ. AI in Drug Discovery and Pharmacology
Machine Learning for Pharmacological Target Identification
Deep Learning and Graph Neural Networks for Drug-like Molecule Modelling
Generative AI & Autonomous Design of Novel Compounds
PK/PD & ADMET Prediction Using AI: Beyond Traditional Modelling
๐’๐ž๐œ๐ญ๐ข๐จ๐ง ๐ˆ๐ˆ๐ˆ. Predictive Toxicology and Safety Sciences
AI for In Silico Toxicity Prediction: Hepatotoxicity, Cardiotoxicity & Genotoxicity
Mechanistic Toxicology Enhanced by Explainable AI (XAI)
Multi-Omics, Environmental Toxicology & AI Integration
AI-Powered Alternatives to Animal Testing: Cell-based, Organ-on-Chip, Virtual Organs
๐’๐ž๐œ๐ญ๐ข๐จ๐ง ๐ˆ๐•. Advanced Architectures and Future Trends
Agentic AI Systems for Fully Automated Drug Discovery Cycles
Ultra-Large Virtual Screening, Cloud Platforms & HPC
Quantum Machine Learning for Pharmacology and Toxicology
Federated Learning and Privacy-Preserving Drug Safety Analytics
๐’๐ž๐œ๐ญ๐ข๐จ๐ง ๐•. Real-World Applications, Case Studies & Industry Perspectives
Pharma Case Studies: AI in Lead Optimization and Toxicity De-risking
Commercial Predictive Toxicology Platforms: Capabilities & Limitations
AI-Enabled Pharmacovigilance and Post-Market Safety Detection
Future Roadmap: Opportunities, Barriers & Global Collaboration Models
๐‚๐จ๐ง๐œ๐ฅ๐ฎ๐ฌ๐ข๐จ๐ง
Concluding Insights and Future Research Directions

๐ˆ๐ฆ๐ฉ๐จ๐ซ๐ญ๐š๐ง๐ญ ๐ƒ๐š๐ญ๐ž๐ฌ
ย January 18, 2026: Proposal Submission Deadline
ย February 1, 2026: Notification of Acceptance
 May 3, 2026: Full Chapter Submission
 July 5, 2026: Review Results Returned
 August 16, 2026: Final Acceptance Notification
 August 30, 2026: Final Chapter Submission

No publication charges | Avoidย AI-generated content | Plagiarism is acceptable up to 15%. | Avoid self-citations.
Please submit your one-page write-up (with an abstract of 100-150 words and 4-6 keywords) of yourย chapterย and the tentative table of contents through the submission linkย https://www.igi-global.com/publish/call-for-papers/call-details/9495

In 2025, our IGI Book Chapters were published (with SCOPUS indexed)ย https://www.igi-global.com/book/metaheuristic-algorithms-optimizing-neural-networks/359972

With Thanks & regards

Prasanalakshmi Balaji, FHEA, SMIEEE,

She/Her

College of Computer Science,

King Khalid University,

Saudi Arabia.

PROFILE

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