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Biorxiv : the Preprint Server for Biology
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February 27, 2026
A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology
Karl Pichotta, Jessica B White, Jeffrey F Quinn, et al.
Nature Communications
|
November 12, 2024
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research
Kenneth L Kehl, Justin Jee, Karl Pichotta, et al.
Nature Communications
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September 26, 2025
AI cancer driver mutation predictions are valid in real-world data
Thinh N Tran, Chris Fong, Karl Pichotta, et al.
NPJ Digital Medicine
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July 3, 2025
Large language model trained on clinical oncology data predicts cancer progression
Menglei Zhu, Hui Lin, Jue Jiang, et al.
Radiology
|
January 18, 2022
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
Nathaniel C Swinburne, Vivek Yadav, Julie Kim, et al.
JCO Precision Oncology
|
March 18, 2026
Genomic Features and Response to Poly(ADP-ribose) Polymerase Inhibition in Metastatic Castration-Resistant Prostate Cancer
Jeffery C W Chang, Subhiksha Nandakumar, Konrad H Stopsack, et al.
Nature Medicine
|
August 15, 2024
DNA liquid biopsy-based prediction of cancer-associated venous thromboembolism
Justin Jee, A Rose Brannon, Rohan Singh, et al.
Biorxiv : the Preprint Server for Biology
|
August 20, 2025
Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers
Kevin M Boehm, Madison Darmofal, Arfath Pasha, et al.
Nature
|
November 7, 2024
Automated real-world data integration improves cancer outcome prediction
Justin Jee, Christopher Fong, Karl Pichotta, et al.
Cancer Cell
|
April 19, 2026
Cancer type-specific variation in patterns of driver alterations across 50,000 tumors
Chaitanya Bandlamudi, Daniel Muldoon, Ino de Bruijn, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Biorxiv : the Preprint Server for Biology
|
February 27, 2026
A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology
Karl Pichotta, Jessica B White, Jeffrey F Quinn, et al.
Nature Communications
|
November 12, 2024
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research
Kenneth L Kehl, Justin Jee, Karl Pichotta, et al.
Nature Communications
|
September 26, 2025
AI cancer driver mutation predictions are valid in real-world data
Thinh N Tran, Chris Fong, Karl Pichotta, et al.
NPJ Digital Medicine
|
July 3, 2025
Large language model trained on clinical oncology data predicts cancer progression
Menglei Zhu, Hui Lin, Jue Jiang, et al.
Radiology
|
January 18, 2022
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
Nathaniel C Swinburne, Vivek Yadav, Julie Kim, et al.
JCO Precision Oncology
|
March 18, 2026
Genomic Features and Response to Poly(ADP-ribose) Polymerase Inhibition in Metastatic Castration-Resistant Prostate Cancer
Jeffery C W Chang, Subhiksha Nandakumar, Konrad H Stopsack, et al.
Nature Medicine
|
August 15, 2024
DNA liquid biopsy-based prediction of cancer-associated venous thromboembolism
Justin Jee, A Rose Brannon, Rohan Singh, et al.
Biorxiv : the Preprint Server for Biology
|
August 20, 2025
Integrated histopathologic modeling of detailed tumor subtypes and actionable biomarkers
Kevin M Boehm, Madison Darmofal, Arfath Pasha, et al.
Nature
|
November 7, 2024
Automated real-world data integration improves cancer outcome prediction
Justin Jee, Christopher Fong, Karl Pichotta, et al.
Cancer Cell
|
April 19, 2026
Cancer type-specific variation in patterns of driver alterations across 50,000 tumors
Chaitanya Bandlamudi, Daniel Muldoon, Ino de Bruijn, et al.
Page
of 2