AI Applications in Biotechnology, Healthcare & Grant Proposal Development

📅 Date: 9th – 14th March 2026
📍 Mode: Offline
🎯 Target Audience: Faculty Members, Researchers, PhD Scholars & Industry Professionals
🏫 Discipline: Biotechnology, Pharmacy, Life Sciences & Healthcare

About the FDP

This 6-day intensive Faculty Development Program (FDP) is designed to equip participants with practical knowledge of Artificial Intelligence (AI) applications in biotechnology, healthcare, and drug development, while also enabling them to develop fundable research proposals aligned with Bionnovation funding priorities.

Participants will gain hands-on exposure to AI tools, omics data analysis, drug discovery applications, protein engineering, healthcare analytics, and proposal writing aligned with national funding ecosystems.

Program Objectives

• Understand funding opportunities under national biotechnology grant ecosystems
• Apply AI/ML techniques in omics, clinical data, and drug discovery
• Explore AI-driven protein engineering and biological modeling
• Learn AI applications in modern healthcare systems
• Develop fundable research proposals with proper budgeting & planning

Day-wise Schedule & Topics

Day 1: Understanding Grant Ecosystem & Proposal Strategy

Topics Covered:

• Overview of national biotechnology funding schemes
• Types of grants (BIG, SBIRI, and related programs)
• Understanding and interpreting Call for Proposals
• Components of a successful research proposal
• Common reasons for proposal rejection
• Outcome:

Participants will learn how to align research ideas with funding priorities.

Day 2: AI in Omics & Clinical Data

Topics Covered:

• Overview of Artificial Intelligence & Machine Learning
• AI/ML applications in biotechnology & healthcare
• Omics dataset mining and management
• Clinical data analysis frameworks
• Practical Session: Key omics databases & tools

Day 3: AI in Drug Discovery & Development

Topics Covered:

• Current challenges in drug discovery
• AI/ML for computer-aided drug design
• AI in drug target identification
• ADMET, toxicity & ADR prediction models
• Practical Session: AI tools in drug discovery

Day 4: AI in Protein Engineering & Pathway Modelling

Topics Covered:

• AI-driven protein design
• Vaccine modeling approaches
• Host-pathogen interaction modeling
• Antimicrobial resistance (AMR) prediction systems
• AI in biological network modeling

Day 5: AI Applications in Healthcare

Topics Covered:

• AI in diagnostics and personalized treatment
• Deep learning in drug design & personalized medicine
• AI in disease pathway analysis
• Electronic Health Records (EHR) & healthcare analytics
• Integration of AI systems into hospital workflow

Day 6: Budgeting, Financial Planning & Final Proposal Presentation

Topics Covered:

• Budget justification (equipment, manpower, consumables)
• Gantt chart preparation & project timelines
• Risk mitigation strategies
• Proposal peer-review session
• Final proposal presentation by participants

Key Benefits

✅ Hands-on exposure to AI tools & real datasets
✅ Understanding funding & grant proposal writing
✅ Industry-relevant skill development
✅ Proposal review by experts
✅ Certificate of Completion
✅ Networking & collaboration opportunities

Who Should Attend?

• Faculty Members & Academicians
• Research Scholars & PhD Students
• Biotechnology & Pharmacy Professionals
• Healthcare Researchers
• Industry R&D Professionals

Certification

Participants who successfully complete the FDP will receive a Faculty Development Program Completion Certificate.