Faculty

Institution

Unit

Venue

Palak Patel

Assistant Professor

Upstate Medical University

Affiliations

Norton College of Medicine

Department Of Anesthesiology

Department Of Pathology, Anatomical Pathology

Department Of Anesthesiology

Norton College Of Medicine

Palak Patel is currently serving as an Anesthesiology Assistant Professor at Upstate Medical University.

Honors

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Experiences

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Education

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Palak Patel

Upstate Medical University

Assistant Professor

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urology prostate cancer oncology medicine cancer research genetics biomedical informatics molecular diagnostics cancer genetics cancer genomics artificial intelligence bioinformatics outcomes research histopathology medical image computing cancer care cancer imaging prostatic disease disease risk assessment disease assessment digital pathology genitourinary cancers oncologic imaging pten loss biostatistics genomics biomarkers surgical pathology medical mycology respiratory medicine medicinal research image representation surgical oncology biomedical imaging digital medicine health technology thoracic oncology biomarker discovery microarray data analysis prognostic biomarkers cohort studies clinical pathology prognosis biomedical data science computer-aided diagnosis medical image analysis genomic medicine cancer biology intelligent diagnostics disease classification clinical decision-making regulatory consideration clinical guidance clinical evaluation health risk assessment cancer risk bronchial neoplasm cancer detection high throughput assessment prostate cancer metastasis early predictor multicenter retrospective study critical overview prognostic tool prostate cancer patients institutional retrospective study high-/very high-risk pten status digital histopathology images dna hypermethylation clinical grade ngs predetermined change control systematic scoping review

Notable Scholarly Works

Notable Federal Grants

Collaborators

Evaluating Transparency of Predetermined Change Control Plans in FDA-Cleared Radiology AI Devices: A Systematic Scoping Review. Research Square (2026)

health policyhealth informaticsclinical decision-makingclinical guidanceregulatory considerationpredetermined change controlradiologyhealth technologymedicinedigital medicinesystematic scoping reviewclinical trials

Assessing the Impact of Pten Loss on Outcomes in High-/Very High-Risk, Advanced Hormone-Sensitive Prostate Cancer Patients: Institutional Retrospective Study.. Journal of Clinical Oncology (2025)

pten losssurgical oncologyhigh-/very high-riskgenitourinary cancersprostate cancerprostatic diseaseoutcomes researchmedicineinstitutional retrospective studyurologycancer careoncology

Deep Learning for Digital Pathology: A Critical Overview of Methodological Framework. Journal of Pathology Informatics (2025)

medical image computingbiomedical informaticsbiomedical data sciencecritical overviewdeep learningcomputer-aided diagnosismedical image analysisradiologyneural network (machine learning)digital pathologydata scienceimage representationimage analysismachine learning

Towards Interpretable Molecular and Spatial Analysis of the Tumor Microenvironment From Digital Histopathology Images With Histotme-V2. bioRxiv (Cold Spring Harbor Laboratory) (2025)

spatial analysispathologydigital histopathology imagesmolecular imagingradiologycancer imagingcancer researchhistopathologydigital pathologyoncologic imagingtumor microenvironmentbiomedical imaging

Validation of Histotme-Predicted Immune Subtypes and Immunotherapy Outcomes Using Human Interpretable Features (Hifs) From H E Images in Non-Small Cell Lung Cancer.. Journal of Clinical Oncology (2025)

histotme-predicted immune subtypespathologyradiation oncologyimmunotherapy outcomesbronchial neoplasmlung cancercancer imagingoncologic imagingmolecular diagnosticscancer detectionthoracic oncologye imagescancer genomicsoncology

A Dna Copy Number Alteration Classifier as a Prognostic Tool for Prostate Cancer Patients. British Journal of Cancer (2023)

Walead EbrahimizadehKarl-Philippe GuérardShaghayegh RouzbehEleonora ScarlataFadi BrimoPalak G. PatelTamara JamaspishviliLucie HamelArmen G. AprikianAnna Y. LeeDavid M. BermanJohn M. S. BartlettSimone ChevalierJacques Lapointe

cancer biologybioinformaticsprognostic toolprostate cancercancer researchmolecular diagnosticsgenomic medicinemolecular biologyprostate cancer patientsurologycancer geneticscancer genomicsoncologygenetics

Artificial Intelligence-Based Pten Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study. Modern Pathology (2023)

Palak PatelStephanie HarmonRachael IsemanOlga LudkowskiHeidi AumanSarah HawleyLisa F. NewcombDaniel W. LinPeter S. NelsonZiding FengHilary D. BoyerMaria S. TretiakovaLarry D. TrueFunda Vakar-LopezPeter R. CarrollMatthew R. CooperbergEmily ChanJeff SimkoLadan FazliMartin GleaveAntonio Hurtado-CollIan M. ThompsonDean TroyerJesse K. McKenneyWei WeiPeter L. ChoykeGennady BratslavskyBaris TurkbeyD. Robert SiemensJeremy SquireYingwei P. PengJames D. BrooksTamara Jamaspishvili

artificial intelligencepathologyearly predictordisease assessmentprognosistumor biologysurgerydisease risk assessmentsurgical pathologyoutcomes researchprostate cancer metastasismedical mycologymulticenter retrospective studyrespiratory medicinemedicinal researchprostate cancerurologyclinical pathologycohort studieshistopathologyoncology

Deep Learning-Based Approach for Automated Assessment of Pten Status.. Journal of Clinical Oncology (2020)

medical image computingpten statusbiomedical informaticsdeep learningdiagnosisdisease classificationmedicineintelligent diagnosticsdisease assessment

High Throughput Assessment of Biomarkers in Tissue Microarrays Using Artificial Intelligence: Pten Loss as a Proof-Of-Principle in Multi-Center Prostate Cancer Cohorts. Modern Pathology (2020)

artificial intelligencebiostatisticsbiomarker discoveryprognostic biomarkersbiomedical informaticsmicroarray data analysishigh throughput assessmentomicspten lossprostate cancerprostatic diseasemolecular diagnosticsbiomarkersurologybioinformatics

25. Towards a Clinical Grade Ngs Assay for Dna Hypermethylation in Prostate Cancer. Cancer Genetics (2019)

Palak G. PatelLoni PickleAndrew G HatchNathan FergussonNicole ArcherXiao ZhangMathieu LariviereRobert J. GoodingDavid M. Berman

dna hypermethylationclinical grade ngsprostate cancerurologycancer geneticsoncologygenetics

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Palak Patel

Assistant Professor

Upstate Medical University

Affiliations

Norton College of Medicine

Department Of Anesthesiology

Department Of Pathology, Anatomical Pathology

Department Of Anesthesiology

Norton College Of Medicine

Palak Patel is currently serving as an Anesthesiology Assistant Professor at Upstate Medical University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Palak Patel

Upstate Medical University

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Evaluating Transparency of Predetermined Change Control Plans in FDA-Cleared Radiology AI Devices: A Systematic Scoping Review. Research Square (2026)

Assessing the Impact of Pten Loss on Outcomes in High-/Very High-Risk, Advanced Hormone-Sensitive Prostate Cancer Patients: Institutional Retrospective Study.. Journal of Clinical Oncology (2025)

pten losssurgical oncologyhigh-/very high-riskgenitourinary cancersprostate cancerprostatic diseaseoutcomes researchmedicineinstitutional retrospective studyurologycancer careoncology

Deep Learning for Digital Pathology: A Critical Overview of Methodological Framework. Journal of Pathology Informatics (2025)

Towards Interpretable Molecular and Spatial Analysis of the Tumor Microenvironment From Digital Histopathology Images With Histotme-V2. bioRxiv (Cold Spring Harbor Laboratory) (2025)

spatial analysispathologydigital histopathology imagesmolecular imagingradiologycancer imagingcancer researchhistopathologydigital pathologyoncologic imagingtumor microenvironmentbiomedical imaging

A Dna Copy Number Alteration Classifier as a Prognostic Tool for Prostate Cancer Patients. British Journal of Cancer (2023)

Artificial Intelligence-Based Pten Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study. Modern Pathology (2023)

Deep Learning-Based Approach for Automated Assessment of Pten Status.. Journal of Clinical Oncology (2020)

medical image computingpten statusbiomedical informaticsdeep learningdiagnosisdisease classificationmedicineintelligent diagnosticsdisease assessment

High Throughput Assessment of Biomarkers in Tissue Microarrays Using Artificial Intelligence: Pten Loss as a Proof-Of-Principle in Multi-Center Prostate Cancer Cohorts. Modern Pathology (2020)

25. Towards a Clinical Grade Ngs Assay for Dna Hypermethylation in Prostate Cancer. Cancer Genetics (2019)

Palak G. PatelLoni PickleAndrew G HatchNathan FergussonNicole ArcherXiao ZhangMathieu LariviereRobert J. GoodingDavid M. Berman

dna hypermethylationclinical grade ngsprostate cancerurologycancer geneticsoncologygenetics

1
2
10 / page