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Pallantla, Ravi Kumar
(
S-018
)
Evaluating antibody drug conjugate (ADC) combinations using the platform Quantitative Systems Pharmacology (QSP) model
Ravi Kumar Pallantla
Favorite
Papadopoulos, Stefanos
University of Pittsburgh
(
M-035
)
Predicting Improved Weaning Strategies for Mechanical Ventilation with a Physiologically-Based Mechanistic Model
Stefanos Papadopoulos
Favorite
Park, Hyunseo
UTHSC, College of Pharmacy
(
S-021
)
Development of a Physiologically Based Infection Kinetic Model to Assess Bacterial Clearance by Various Immunocompromised Mouse Strains Used as Infection Models for Mycobacterium abscessus
Hyunseo Park
Favorite
(
S-022
)
Dose Optimization of Inhaled Tigecycline in Humans to Overcome Inherent Adverse Events and Maximize Bacterial Clearance Using a PBPK Modeling Approach
Hyunseo Park
Favorite
Park, Mina
Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
(
M-109
)
Optimizing Duchenne Muscular Dystrophy Clinical Trial Design by Modeling and Simulation: Identifying Characteristics of Magnetic Resonance Imaging Fat Fraction and Timed Function Test Measures and Their Longitudinal Association
Mina Park
Favorite
Park, Sung min
Allucent
(
S-098
)
Population Pharmacokinetic Modeling of Rezpegaldesleukin after Subcutaneous Dosing to Account for Variability Across Multiple Patient Populations with Autoimmune Diseases
Sung min Park
Favorite
Parrot, Madison
University Of Utah
(
S-088
)
A pediatric PBPK model of atropine gel to predict atropine levels in children with neurological disorders after administration to oral cavity
Madison Parrot
Favorite
Patel, Dimple
Kyowa Kirin Inc
(
T-026
)
Semi-Automated Quality Check Process for NONMEM Dataset Using R Markdown
Dimple Patel
Favorite
Patel, Jayesh
(
M-102
)
Strategic application of PK modeling in 505(b)(2) development for a new pediatric formulation
Jayesh Patel
Favorite
Penland, Chris
(
M-005
)
Transforming Pharmacometric Processes to deliver medicines to patients: Balancing Speed, Quality, and Innovation
Chris Penland
Favorite
Pereira, Lucas
Pumas-AI
(
S-068
)
Machine learning for exploratory data analysis and model diagnosis in oncology
Lucas Pereira
Favorite
Pham, Loan
(
T-021
)
Utilizing Generative Deep Learning and Bayesian Neural Network for Pharmacometrics Covariate Analysis
Loan Pham
Favorite
Pillai, Nikhil
Sanofi
(
S-039
)
Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans
Nikhil Pillai
Favorite
(
T-038
)
From in vitro to in vivo via Machine Learning: Predicting preclinical pharmacokinetics for small molecules in the data-scarce regime
Nikhil Pillai
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Pinky, Lubna
Meharry Medical College
(
M-081
)
Modeling Interactions Between Respiratory Pathogens
Lubna Pinky
Favorite
Pippa, Leandro
Certara USA, Inc. | University of Florida
(
M-101
)
A minimal model to support a CAR T-cell therapy development platform
Leandro Pippa
Favorite
Poland, Bill
Certara
(
T-033
)
Practical PK/PD Modeling of Lymphocytes and CD4+ T Cells in HIV Patients Treated with the Nucleoside Reverse Transcriptase Translocation Inhibitor (NRTTI) Islatravir
Bill Poland
Favorite
Poon, Victor
Genentech
(
M-091
)
Auto-Induction and PD-Enhanced TMDD population PK Models for Engineered IL-15 cytokine Efbalropendekin alfa (XmAb24306) in Cancer Therapy
Victor Poon
Favorite
(
M-092
)
QSP modeling to inform key clinical dosing regimen decisions for an engineered IL15 cytokine Efbalropendekin alfa in patients with solid tumors
Victor Poon
Favorite
Prabhakar, Vikram
(
M-011
)
Quantitative Systems Pharmacology (QSP) Modeling of efficacy and nausea of GLP-1 mono and dual (GLP-1/GIP) receptor agonists (RA) to support weight management and glycemic control in obese patients
Vikram Prabhakar
Favorite
Pritchard-Bell, Ari
Amgen, Inc.
(
S-025
)
A Novel Multi-Agent Framework for Automated Pharmacometric Analysis with Human-Like Reasoning
Ari Pritchard-Bell
Favorite
Pryor, Meghan
Johnson & Johnson
(
M-034
)
Translating PROTACs: Relating in vitro Potency to Protein Degradation Kinetics
Meghan Pryor
Favorite
Psarellis, Yorgos
Sanofi US
(
T-038
)
From in vitro to in vivo via Machine Learning: Predicting preclinical pharmacokinetics for small molecules in the data-scarce regime
Yorgos Psarellis
Favorite
