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Artificial Intelligence (AI) in Modern Pharmacy: Molecules to Medicines

September 26 @ 11:00 am - 12:00 pm
AI in Pharmacy Flier_US

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 ASSET Bioinformatics Workshop 2026 
(Open to All)

Artificial Intelligence (AI) in Modern Pharmacy: Molecules to Medicines

Moderator: Dr. Sumaya Sanober, Ph.D.
Department of Computer Science
Old Dominion University
Norfolk, VA, USA

Instructor: Maseera Siddiqui, MS
Department of Pharmacy
Jawaharlal Nehru Technical University
Hyderabad, TG, India

                                         Online Program | Every Saturday | September 26 to November 7, 2026 
                                         11:00 AM to 12:00 PM (EST)  |  8:30 PM to. 9:30 PM (IST)

ASSET presents “Artificial Intelligence (AI) in Modern Pharmacy: Molecules to Models”, a six-session course offered under the ASSET Bioinformatics Workshop 2026 series. Running every Saturday from September 26 to November 7, 2026, this program is designed for high school students, university students, and professionals seeking to learn how AI is transforming pharmacy and pharmacology through computational drug discovery, precision medicine, molecular modeling, predictive pharmacokinetics, automated dispensing, and data-driven therapeutics while exploring STEM and healthcare-related careers. All AI- and pharmacy-loving individuals are welcome.

About ASSET Crash Course on AI in Modern Pharmacy: From Molecules to Models
ASSET provides an intensive, forward-looking curriculum designed to bridge computational data science and pharmaceutical care. Over six structured sessions, participants explore how artificial intelligence is transforming every phase of the discipline from deep-learning algorithms for molecular docking, quantitative structure-activity relationship (QSAR) modeling, and accelerated drug discovery, to predictive pharmacokinetics, automated dispensing, and clinical decision support. The program bridges high-level theory with real-world healthcare applications, empowering students, researchers, and clinicians to navigate next-generation pharmacology. The training culminates in an interactive 7th session: The ASSET AI Pharmacy Quiz Challenge, a high-stakes, competitive showcase designed to test your mastery, reinforce core competencies, and award recognition and e-certificates to the top performers leading the digital pharmacy revolution.

You can review a past seminar session hosted by the team via the ASSET ONLINE AI Workshop to get a feel for their presentation style and event format.

Learning Outcomes
By the end of this course, students will be able to:

1. Understand core pharmacy AI tools
2. Model computational drug discovery workflows.
3. Predict clinical trial outcomes.
4. Optimize smart drug manufacturing.
5. Improve clinical medication safety.
6. Navigate AI ethics responsibly.


Class 1 (Week 1) – September 26, 2026
Understanding AI: Foundations for Pharmacy
Topics:
> AI basics
> Types of pharmaceutical data
> Where AI fits across the drug life cycle
> Generative AI
> Machine learning vs Deep learning
> Natural Language Processing
> Computer Vision
Class 2 (Week 2) –  October 3, 2026
From Molecule to Medicine: AI in Drug Discovery
Topics:
> Target Identification
> Virtual Screening
> Quantitative Structure–Activity Relationship (QSAR)
> Molecular Docking
> Protein Structure Prediction
> ADMET
> Predictive Toxicology
> Workflow: Disease →Target→ Compound Library→ AI screening→ Molecular Docking→ ADMET Prediction→
—>Lead Candidate
Class 3 (Week 3) – October 10, 2026
AI in Clinical Trials and Precision Medicine

> Preclinical Prediction
> Biomarker Discovery
> Virtual Animal Models to Test Compound Safety
> Patient Stratification
> Trial Recruitment
> Treatment-Response Prediction
> Pharmacogenomics

Class 4 (Week 4) – October 17, 2026
Smart Pharma: AI in Formulation, Manufacturing and Quality

> Formulation Optimisation
> Process Analytical Technology
> Smart Manufacturing
> Computer Vision
> Predictive Maintenance
> Batch-quality prediction
> Supply-chain Applications

Class 5 (Week 5) – October 24, 2026
AI in Clinical Pharmacy and Pharmacovigilance

> Prescription Screening
> Drug Interactions
> Dose Optimization
> Medication Errors
> ADR detection
> Safety-signal identification
> Natural Language Processing
> Clinical Decision Support

Class 6 (Week 6) October 31, 2026
The AI-Enabled Pharmacist: Generative AI, Ethics and the Future

> ChatGPT
> AI-assisted research
> Medical writing
> Validation, bias, privacy
> Validation gaps between prediction and real world biological outcomes
> Regulatory Expectations
> Responsible AI and Future Pharmacy Careers

7th Session (Week 7) November 7, 2026
Knowledge Check (ASSET Test)
Recap of the Artificial Intelligence (AI) in Modern Pharmacy (AIPA) Course &
AIPA Quiz*
(Winners
$50  (1st)
$40 ( 2nd)
$30 (3rd)
$25 (4th)
$20 (5th)
$10 (6th to 10th)
and a Certificate of Completion from ASSET
Note: To qualify for “AIPA ASSET Quiz”, students must attend all six (6) sessions needs to be ASSET Annual Member.
For ASSET Membership click here ——>>> USA – India
Guest Speakers
To Be Decided (USA)
To Be decided (UAE))
To Be Decided (India)

Workshop Pre-requisite:
          * should have background knowledge in STEM, specifically in chemistry.
* Provide your complete information (Full Name, School & Country). If not, you will NOT be eligible for the Prize Money
and Certificate.

Details

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Venue