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Jeremy Warner, MD, MS, FAMIA, FASCO

@hemoncwarner.bsky.social

Professor of Medicine and Biostatistics at Brown University, Director of the Center for Clinical Cancer Informatics and Data Science (CCIDS), CTO of HemOnc.org, co-founder of the COVID-19 and Cancer Consortium (CCC19), EIC of JCO CCI. Views my own.

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Brown University School of Public Health@brownpublichealth.bsky.social · 4mo ago

At @brown.edu, instead of majors we have concentrations. It might also be surprising that @brownbiostatistics.bsky.social is home to the university's #statistics concentration. Program director Professor Alice Paul, explains the advantages of studying statistics in a school of public health. ⬇️

Inside Brown's new statistics curriculum

By eliminating redundant coursework, expanding elective opportunities and introducing R programming earlier in the program, the Department of Biostatistics is pivoting toward a deeper, student-focused and computational approach to the field.

sph.brown.edu

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · 9mo ago

I'm honored to publish this article with great colleagues: Informatics Perspectives on the National Cancer Policy Forum Workshop “Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond” | JCO Clinical Cancer Informatics ascopubs.org/doi/10.1200/... #JCOCCI

Informatics Perspectives on the National Cancer Policy Forum Workshop “Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond” | JCO Clinical Cancer Informat...

The National Cancer Policy Forum workshop Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond examined the current state of cancer registries and how they...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · 11mo ago

Exciting new article: Clinician's Artificial Intelligence Checklist and Evaluation Questionnaire: Tools for Oncologists to Assess Artificial Intelligence and Machine Learning Models | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI @ascocancer.bsky.social

Clinician's Artificial Intelligence Checklist and Evaluation Questionnaire: Tools for Oncologists to Assess Artificial Intelligence and Machine Learning Models | JCO Clinical Cancer Informatics

Advancements in oncology are accelerating in the fields of artificial intelligence (AI) and machine learning. The complexity and multidisciplinary nature of oncology necessitate a cautious approach to...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · 11mo ago

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial | JCO Clinical Cancer Informatic...

PURPOSETo evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · 11mo ago

Safe and Responsible Use of Artificial Intelligence in Health Care: Current Regulatory Landscape and Considerations for Regulatory Policy | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI

Safe and Responsible Use of Artificial Intelligence in Health Care: Current Regulatory Landscape and Considerations for Regulatory Policy | JCO Clinical Cancer Informatics

The integration of artificial intelligence (AI) into health care promises transformative advancements in diagnostics, treatment, and operational efficiency. However, this transformation introduces sig...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · 11mo ago

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer | JCO Clinical Cancer Inf...

PURPOSEChemotherapy is the primary treatment for metastatic nonseminomatous germ cell tumors (mNSGCTs), but patients often encounter postchemotherapy residual disease. Accurate noninvasive methods are...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI

Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing | JCO Clinical Cancer Informatics

PURPOSESocial Determinants of Health (SDoH) have a significant effect on health outcomes and inequalities. SDoH can be extracted from electronic health records (EHR) to aid policy development and rese...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI

Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm | JCO Clinical Cancer Informatics

PURPOSEThe development of colorectal liver metastases (CRLMs) is associated with poor prognosis, and recent data suggest that metastasis to the liver is associated with resistance to immunotherapy. We...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI

Deep Learning–Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 Trial | JCO Clinical Cancer Informatics

PURPOSEThe present study aimed to investigate the role of body composition as an independent image-derived biomarker for clinical outcome prediction in a clinical trial cohort of patients with relapse...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI

Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy | JCO Clinical Cancer Informatics

PURPOSEConsumer wearable devices provide new opportunities for measuring patterns of objective daily physical activity throughout cancer treatment. In addition to capturing step counts, these devices ...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI

Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal | JCO Clinical Cancer Informatics

PURPOSEPrevious studies have consistently reported disparities in electronic health record portal enrollment. Among patients enrolled in a portal, it is less clear whether there are disparities in usa...

ascopubs.org

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Reliability of Large Language Model Knowledge Across Brand and Generic Cancer Drug Names | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI @daniellebitterman.bsky.social

Reliability of Large Language Model Knowledge Across Brand and Generic Cancer Drug Names | JCO Clinical Cancer Informatics

PURPOSETo evaluate the performance and consistency of large language models (LLMs) across brand and generic oncology drug names in various clinical tasks, addressing concerns about potential fluctuati...

ascopubs.org

Jason Moore@moorejh.bsky.social · last yr.

I heard this morning that my informatics colleague Dr. Atul Butte passed after a battle with cancer. He was a giant in the field & inspired many of us over his distinguished career. He was a passionate champion of the power of big data & his impact on our field is immeasurable. RIP Atul & thanks.

Jeremy Warner, MD, MS, FAMIA, FASCO@hemoncwarner.bsky.social · last yr.

Tumor Treating Fields With Gemcitabine and Nab-Paclitaxel for Locally Advanced Pancreatic Adenocarcinoma: Randomized, Open-Label, Pivotal Phase III PANOVA-3 Study | Journal of Clinical Oncology ascopubs.org/doi/10.1200/...

Tumor Treating Fields With Gemcitabine and Nab-Paclitaxel for Locally Advanced Pancreatic Adenocarcinoma: Randomized, Open-Label, Pivotal Phase III PANOVA-3 Study

PURPOSETumor treating fields (TTFields) use alternating electric fields to disrupt cancer cell proliferation. Feasibility of TTFields therapy with gemcitabine/nab-paclitaxel was previously demonstrate...

ascopubs.org

American Society of Clinical Oncology@ascocancer.bsky.social · last yr.

Just announced: ASCO and Google Cloud launch the ASCO Guidelines Assistant, an AI tool for fast access to ASCO's trusted and expert-developed clinical cancer guidelines. Read more in @statnews.com

ASCO and Google create ‘walled garden’ AI tool for doctors to query group’s guidelines

ASCO and Google Cloud's AI tool is meant to help oncologists query just its trusted cancer treatment guidelines, without extraneous information.

statnews.com