Modeling and simulation offer useful predictions that can help guide your drug development program—but what if you could get even more out of the available technology?

In this webinar, presenters John DiBella, Brett Howell and Jeff Woodhead will discuss how using AI/ML, PBPK, and QSP/QST modeling together can support better decision-making and streamline your entire drug discovery and development process.

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“QSP is no longer an emerging field—12 years after the term was coined, it has become a critical component of drug development,” noted Brett A. Howell, President of DILIsym Services, a division of Simulations Plus.

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Novice & Advanced Users
Workshops

In-Person Instruction 

• An Introduction to Mathematical Modeling in Drug Development Using GastroPlus® and DILIsym®: (Columbus, OH)
  • Jul. 18th
• FDA/M-CERSI Physiologically Based Biopharmaceutics Modeling, PBBM Best Scientific Practices to Drive Drug Product Quality: Latest Regulatory and Industry Perspectives (Rockville, Md.)
  • Aug. 29th – 31st

Online Learning Workshops

• GastroPlus® Introductory Workshop
  • Jul. 24th-28th
• Complimentary Introduction to GastroPlus® Workshop
  • Sept. 5th
  • Oct. 31st
  • Dec. 4th
• Complimentary Introduction to GastroPlus® Workshop (EU)
  • Oct. 3rd
• Introductory Workshop in Population PK Data Analysis
  • Sept 25th- Oct 6th

On-Demand Courses (Now Available)

• Transdermal Administration (TCAT™) in GastroPlus®
  • Dec. 30th-31st
• Injectables (IM, SQ, IA) in GastroPlus Including Biologics and LAIs
  • Dec. 30th-31st
• Ocular Administration (OCAT™) in GastroPlus®
  • Dec. 30th-31st
• Pulmonary Administration (PCAT™) in GastroPlus®
  • Dec. 30th-31st
• GastroPlus® ADR – 4 Course Bundle (TCAT™ / OCAT™ / OCCAT™ / PCAT™)
  • Dec. 30th-31st
• GastroPlus® ADR – 5 Course Bundle (TCAT™ / OCAT™ / OCCAT™ / PCAT™ / Injectables)
  • Dec. 30th-31st

View Upcoming Workshops

Meet Us In Person
Conferences

Society for Mathematical Biology (SMB) Annual Meeting 2023 – Jul. 16th – 21st, Columbus, Ohio

• An Introduction to Mathematical Modeling in Drug Development Using GastroPlus and DILIsym | Sunday, Jul. 18th, 6:00-8:00 PM
• Presenter: Celeste Vallejo
• Title: Potential Application of a Mechanistic Model of a Chronic Lung Disease to the Treatment of Post-COVID Lung Fibrosis and Other Respiratory Pandemics
  Jul. 19th: 10:30 AM EDT

CRS 2023 Annual Meeting & Expo – Jul. 24th-28th, Las Vegas, Nevada

• Booth #410
• Presenter: James Mullin
• Title: “Development of Silica Release Model for Intraocular Injections” on:
• Jul. 25th: 7:00 – 9:00 PM PDT
• Jul. 26th: 5:00 – 6:00 PM & 7:00 – 9:00 PM PDT
• Jul. 27th: 5:00 – 6:00 PM & 7:00 – 9:00 PM PDT
• Presenter: Dan O’Connor
• Title: CRS 2023 Innovation Showcase
• Jul. 24th from 5:00 – 7:00 PM PDT

2023 QSP Symposium– Jul. 26th, Buffalo, New York.

• Meet with Christina Battista who will be in attendance.

Gordon Research Conference – Aug. 6th-11th Waterville Valley Resort, NH

• Presenter: Jessica Spires
• Title: Development of an in silico Model of Topical Acyclovir to Explore Formulation Design

View Events Calendar

In Case You Missed It
Webinars

Get a sneak peek of the latest version of the flagship machine learning platform for ADMET modeling.

Watch the Webinar Replay

Take Advantage
New Packages

• Plug n’ Play PBBM Validated Models with GastroPlus
• Quickening the Pace of Drug Discovery with AI
• Breathe Easy with our new Pulmonary Package
• Accelerate Your Program and Invest In Your Team With Consult + Coach

Contact Us for Details

Stay Informed
Latest Research & Collaborations

• Validation of PBPK-Based Translation to Predict Monoclonal Antibody Pharmacokinetics in Pediatric Populations
• Physiologically-Based Pharmacokinetic Modelling of Rivoceranib Parent and Metabolite to Project DDI Risk and Support Regulatory Decision-Making

• Evaluation of the anticancer potential of CD44 targeted vincristine nanoformulation in prostate cancer xenograft model: a multi-dynamic approach for advanced pharmacokinetic evaluation
• Development of a 2D-QSAR Model for Tissue-to-Plasma Partition Coefficient Value with High Accuracy Using Machine Learning Method, Minimum Required Experimental Values, and Physicochemical Descriptors
• Mechanistic evaluation of the inhibitory effect of four SGLT-2 inhibitors on SGLT 1 and SGLT 2 using physiologically based pharmacokinetic (PBPK) modeling approaches

Read New Research from Your Industry Peers