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K
Kaddi, Chanchala

Sanofi
(W-058) QSP-based virtual twin approach provides mechanistic insight into enzyme replacement therapies in Pompe Disease
Chanchala Kaddi
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Kang, Jia

Metrum Research Group, USA
(M-052) Accounting For Dose Modifications In Exposure-Response Analyses In Oncology: The Case Example Of Brigimadlin
Jia Kang
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Kang, Jueun

catholic university
(M-053) PKPD modeling and simulation of an inhaled antibiotic targeting Gram-negative bacteria, using a bacteriophage-derived endolysin.
Jueun Kang
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Kapitanov, Georgi

Certara
(M-054) Preclinical data exposures underpredict clinical physiologically active doses for bispecific TCEs in solid tumors indications; are there better metrics? - insights from a small mechanistic MBMA
Georgi Kapitanov
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Karelina, Tatiana

InSysBio CY
(W-060) Quantitative systems pharmacology model for distinguishing efficacy of anti-CD20 therapy variants in populations of Multiple Sclerosis patients
Tatiana Karelina
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(W-061) Quantitative systems pharmacology modeling of neurotoxicity and cognitive scores in Alzheimer’s disease for prediction of therapy outcomes
Tatiana Karelina
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Kashihara, Yushi

Daiichi Sankyo Co., Ltd.
(M-055) Immune Correlates of Protection against Respiratory Syncytial Virus Infection and an Application to Model-Informed Vaccine Development for an internal compound: a Model-Based Meta-Analysis
Yushi Kashihara
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K, Ayan

The Critical Path Institute
(W-057) Optimizing Drug Development: Assessing Small Language Models for Efficient Drug-Drug Interaction Data Extraction
Ayan K
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Kenz, Zackary

Simulations Plus
(T-065) Weight Loss and Nausea from Subcutaneous and Oral Semaglutide Accurately Simulated with a QSP Model
Zackary Kenz
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Khaksar Toroghi, Masood

Takeda Development Center Americas Inc
(M-056) A Translational Quantitative Systems Pharmacology (QSP) Modeling Framework to Predict Interleukin-15 (IL-15) Cytokine Levels in Multiple Myeloma Patients after Anti-BCMA CAR-NK Cell Therapy
Masood Khaksar Toroghi
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Khoei, Adrian

UNC Eshelman School of Pharmacy
(T-066) A Novel Concentration-Based Time-Imputation Algorithm for Large Cohort Studies Missing Time-After-Dose Data for Stored Samples
Adrian Khoei
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Khusial, Richard

Certara
(M-057) A Pharmacokinetic Analysis of Drug Concentration Using a Novel Deep Learning Model
Richard Khusial
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Khwarg, Juyoung

Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital
(W-062) SEMI-PHYSIOLOGIC POPULATION PHARMACOKINETIC MODEL TO EVALUATE THE EFFECT OF HEPATIC-UPTAKE TRANSPORTER GENE SLC22A1 POLYMORPHISM ON PHARMACOKINETICS OF PROGUANIL AND ITS METABOLITE, CYCLOGUANIL
Juyoung Khwarg
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Kim, Chaejin

Takeda Development Center Americas Inc.
(W-065) Extrapolation of Efficacy and Simplification and Optimization of Pediatric Clinical Trial Design for Azilsartan Medoxomil (Edarbi) through Modeling and Simulation
Chaejin Kim
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Kim, Dong hyun

Department of Regulatory Science, College of Pharmacy, Graduate School, Kyung Hee University
(T-067) A quantitative systems pharmacology-physiologically based pharmacokinetic model-guided antibiotics regimen design for the treatment of sepsis and septic shock patients
Dong hyun Kim
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Kim, Hyeon Ji

Kyung Hee University, Seoul, Republic of Korea
(T-069) Assessment of Disease Similarity among Different Racial and/or Ethnic Groups in Oncology: ABC Framework
Hyeon Ji Kim
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kim, hyeonsu

Kyunghee university department of pharmacy
(W-064) Comparative evaluation of different vancomycin population pharmacokinetic models to predict Bayesian-estimated vancomycin AUC in Korean patients
hyeonsu kim
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Kim, Kyeongmin

The Ohio State University
(T-068) An integrated model of catabolic clearance mechanisms driving exposure-response confounding for immunotherapies in cancer: interactions between mAb drugs, Fc receptors, and endogenous serum proteins
Kyeongmin Kim
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Kim, Min-Soo

School of Pharmacy, University of Waterloo
(M-059) Physiologically based pharmacokinetic (PBPK) modeling of methotrexate in cerebrospinal fluid in humans
Min-Soo Kim
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Kim, Se Jin

Department of Pharmaceutical Sciences, University at Buffalo
(W-063) Cell-line Specific Network Modeling to Assess Differential Signal Transduction of Oxaliplatin-based Drug Combinations for Colorectal Cancer
Se Jin Kim
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Kim, Yoonjin

Seoul National University College of Medicine and Hospital
(M-058) Pharmacokinetic/Pharmacodynamic Modeling for Dose Selection of S-001, a Novel mRNA-based Therapy for Pancreatic Cancer
Yoonjin Kim
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Klee, Brandon

St. Jude Children's Research Hosptial
(M-060) Impact of Drug Interactions and Genetic Variability on High-Dose Methotrexate in Children with Acute Lymphoblastic Leukemia
Brandon Klee
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Kom Nzia, Jeanne Dulie

Nurix Therapeutics
(W-066) PHYSIOLOGICALLY BASED PHARMACOKINETIC MODELING OF PIOGLITAZONE: EVALUATING THE EFFECT OF THE CYTOCHROME P450 2C8*2 SINGLE NUCLEOTIDE POLYMORPHISM
Jeanne Dulie Kom Nzia
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kondic, anna

BMS
(T-070) A novel model for Platelets Dynamics: a pragmatic systems approach to characterize thrombocytopenia across multiple compounds and drug classes
anna kondic
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Korsbo, Niklas

DeepPumas, Pumas-AI Inc.
(T-071) A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data
Niklas Korsbo
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Kosinski, Luke

Critical Path Institute
(M-061) A clinical trial simulator tool for a randomized delayed start trial in Parkinson’s disease
Luke Kosinski
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Krzyzanski, Wojciech

University at Buffalo
(W-067) Gauss-Hermite cohort population estimation of dexamethasone pharmacokinetic parameters in pregnant women using blood samples collected at birth
Wojciech Krzyzanski
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Kuchimanchi, Mita

GSK, Waltham, MA, USA
(T-072) Exposure–Response Relationship of Dostarlimab With Chemotherapy in Primary Advanced/Recurrent Endometrial Cancer: Results From Interim Analysis Two of Part 1 of ENGOT-EN6-NSGO/GOG-3031/RUBY Trial
Mita Kuchimanchi
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Kulesza, Alexander

esqLABS
(T-073) Bispecific T-cell engagers and cytokine release syndrome: Modeling molecule, indication and patient-specific aspects
Alexander Kulesza
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Kumar, Ansu

Cellworks Research India Pvt Limited
(T-074) Risk Assessment for Drug-Induced Hyperbilirubinemia: A Mechanistic Approach
Ansu Kumar
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Kumar, Rajeev

CELLWORKS GROUP, INC.
(T-074) Risk Assessment for Drug-Induced Hyperbilirubinemia: A Mechanistic Approach
Rajeev Kumar
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