Aleksandra Karolak

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Assistant Professor

Moffitt Cancer Center

United States

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About

Dr. Aleksandra Karolak is an Assistant Professor at Moffitt Cancer Center in the United States. Her research focuses on biophysical insights into protein interactions, artificial intelligence applications in oncology, and molecular pathway analyses in pancreatic cancers. Recent publications include work on managing peritoneal metastases and advancements in drug discovery enabled by AI.

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DNA structural features on genomic level

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Articles (12)

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2025

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2023

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2022

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2021

Collaborators (5)

Somashekar Krishna

Professor of Medicine

The Ohio State University Wexner Medical Center

UNITED STATES

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Jeannine McCune

Fred Hutchinson Cancer Research Center

UNITED STATES

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Peter P. Lee

Billy Wilder Endowed Professor and Chair

Beckman Research Institute, City of Hope

UNITED STATES

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Guofang Shen

City of Hope

UNITED STATES

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Russell Rockne

Associate Professor, Director, Vice Chair

UNITED STATES

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Aleksandra Karolak

Research Interests

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About

Recent Grants

Articles (12)

Biophysical Insights into the Binding Interactions of Inhibitors (ICA-1S/1T) Targeting Protein Kinase C-ι

Using artificial intelligence and statistics for managing peritoneal metastases from gastrointestinal cancers

Transformer graph variational autoencoder for generative molecular design

Structure-independent machine-learning predictions of the CDK12 interactome

Challenges with sirolimus experimental data to inform QSP model of post‐transplantation cyclophosphamide regimens

Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial Intelligence

Does artificial intelligence need companionship to assist in drug discovery? The Kirsten rat sarcoma virus study

Emerging therapeutic approaches for peritoneal metastases from gastrointestinal cancers

Molecular Pathway and Immune Profile Analysis of IPMN-Derived Versus PanIN-Derived Pancreatic Ductal Adenocarcinomas

Translation of AI into oncology clinical practice

A framework for mutational signature analysis based on DNA shape parameters

Concepts and Applications of Information Theory to Immuno-Oncology

Collaborators (5)

Somashekar Krishna

Jeannine McCune

Peter P. Lee

Guofang Shen

Russell Rockne

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