Frank Lin
@fpylin.bsky.social
Medical Oncologist, #CancerInformatics, #PrecisionOncology, #Oncology, #TranslationalInformatics, Clinical #MachineLearning and #ArtificialIntelligence
Reposted by Frank Lin
Evaluating the Minimal Common Oncology Data Elements Suitability in Enhancing Clinical Observational Research | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI #mCODE
ASCO Publications
ascopubs.org
September 3, 2025 at 9:39 PM
Evaluating the Minimal Common Oncology Data Elements Suitability in Enhancing Clinical Observational Research | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI #mCODE
Reposted by Frank Lin
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
September 19, 2025 at 12:17 PM
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
Reposted by Frank Lin
New in #JCOCCI: "Clinical DCE-MRI data may be leveraged to provide stable perfusion fit results and indirectly interrogate the tumor microenvironment. These fits can then be used downstream for prediction of response to NACT with high accuracy." ascopubs.org/doi/10.1200/...
#JCOCCI #JCOJournals
#JCOCCI #JCOJournals
Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18FDG and 64Cu-DOTA-Trastuzumab P...
PURPOSEPerfusion modeling presents significant opportunities for imaging biomarker development
in breast cancer but has historically been held back by the need for data beyond the
clinical standard of...
ascopubs.org
January 15, 2025 at 3:44 PM
New in #JCOCCI: "Clinical DCE-MRI data may be leveraged to provide stable perfusion fit results and indirectly interrogate the tumor microenvironment. These fits can then be used downstream for prediction of response to NACT with high accuracy." ascopubs.org/doi/10.1200/...
#JCOCCI #JCOJournals
#JCOCCI #JCOJournals
Reposted by Frank Lin
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
July 16, 2025 at 6:08 PM
Disparities in Patient Portal Messaging Among Oncology Patients Enrolled in the Patient Portal | JCO Clinical Cancer Informatics ascopubs.org/doi/abs/10.1... #JCOCCI
Reposted by Frank Lin
Review and Commentary on Digital Pathology and Artificial Intelligence in Pathology | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
ASCO Publications
ascopubs.org
September 3, 2025 at 9:38 PM
Review and Commentary on Digital Pathology and Artificial Intelligence in Pathology | JCO Clinical Cancer Informatics ascopubs.org/doi/full/10.... #JCOCCI
Reposted by Frank Lin
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
July 25, 2025 at 1:20 PM
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
Reposted by Frank Lin
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
August 27, 2025 at 5:25 PM
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
Reposted by Frank Lin
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
August 27, 2025 at 5:26 PM
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
Reposted by Frank Lin
Automatic metastatic versus localized stage extraction from clinical trial publications just published in JCO CCI. Check it out today, and let us know your thoughts! ascopubs.org/doi/abs/10.1... @acochran12733.bsky.social @emiliemgunn.bsky.social
Metastatic Versus Localized Disease as Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing | JCO Clinical Cancer Informatics
PURPOSEExtracting inclusion and exclusion criteria in a structured, automated fashion remains
a challenge to developing better search functionalities or automating systematic reviews
of randomized con...
ascopubs.org
December 2, 2024 at 4:39 PM
Automatic metastatic versus localized stage extraction from clinical trial publications just published in JCO CCI. Check it out today, and let us know your thoughts! ascopubs.org/doi/abs/10.1... @acochran12733.bsky.social @emiliemgunn.bsky.social
Reposted by Frank Lin
Novel Computational Pipeline Enables Reliable Diagnosis of Inverted Urothelial Papilloma and Distinguishes It From Urothelial Carcinoma ascopubs.org/doi/10.1200/... #JCOCCI #JCOJournals
ASCO Publications
ascopubs.org
March 14, 2025 at 1:49 AM
Novel Computational Pipeline Enables Reliable Diagnosis of Inverted Urothelial Papilloma and Distinguishes It From Urothelial Carcinoma ascopubs.org/doi/10.1200/... #JCOCCI #JCOJournals
Reposted by Frank Lin
Today marks the beginning of OpenRxiv, which replaces bioRxiv and medRxiv, the world's largest preprint platform for life and medical science
openrxiv.org/introducing-...
@openrxiv.bsky.social
openrxiv.org/introducing-...
@openrxiv.bsky.social
March 11, 2025 at 2:55 PM
Today marks the beginning of OpenRxiv, which replaces bioRxiv and medRxiv, the world's largest preprint platform for life and medical science
openrxiv.org/introducing-...
@openrxiv.bsky.social
openrxiv.org/introducing-...
@openrxiv.bsky.social
Reposted by Frank Lin
How to leverage laboratory data and/or International Classification of Diseases (ICD) codes from electronic health records to define comorbidities in observational cancer treatment studies? Read our new #JCOCCI publication to find out! ascopubs.org/doi/full/10.... @emiliemgunn.bsky.social
February 18, 2025 at 3:40 PM
How to leverage laboratory data and/or International Classification of Diseases (ICD) codes from electronic health records to define comorbidities in observational cancer treatment studies? Read our new #JCOCCI publication to find out! ascopubs.org/doi/full/10.... @emiliemgunn.bsky.social
Reposted by Frank Lin
Now online from #JCOCCI: development & validation of computable phenotype algorithms using electronic health records from University of Florida Health Integrated Data Repository to identify individual's eligibility for lung cancer screening in real-world settings. ascopubs.org/doi/full/10.... #lcsm
Toward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records | JCO Clinical Cancer Informatics
PURPOSELung cancer screening (LCS) has the potential to reduce mortality and detect lung
cancer at its early stages, but the high false-positive rate associated with low-dose
computed tomography (LDCT...
ascopubs.org
January 17, 2025 at 4:35 PM
Now online from #JCOCCI: development & validation of computable phenotype algorithms using electronic health records from University of Florida Health Integrated Data Repository to identify individual's eligibility for lung cancer screening in real-world settings. ascopubs.org/doi/full/10.... #lcsm
Reposted by Frank Lin
One of my favorite #JCOJournal activities? The Editorial Fellowship! Applications due 2/28. @ascocancer.bsky.social
@ascocancer.bsky.social JCO Journals Ed Fellowship offers hands-on experience in peer review, editing, & publishing medical research
Work closely w mentors & gain valuable insights into the manuscript process—all while continuing your professional fellowship
app.smartsheet.com/b/form/01898...
Work closely w mentors & gain valuable insights into the manuscript process—all while continuing your professional fellowship
app.smartsheet.com/b/form/01898...
January 15, 2025 at 3:59 PM
One of my favorite #JCOJournal activities? The Editorial Fellowship! Applications due 2/28. @ascocancer.bsky.social
Reposted by Frank Lin
Can an emoji scale be used to report a patient's health status and feelings to health care providers? Find out by reading our latest JCO CCI article: ascopubs.org/doi/full/10.... @ascocancer.bsky.social @biostatgirl.bsky.social
ASCO Publications
ascopubs.org
January 8, 2025 at 4:32 PM
Can an emoji scale be used to report a patient's health status and feelings to health care providers? Find out by reading our latest JCO CCI article: ascopubs.org/doi/full/10.... @ascocancer.bsky.social @biostatgirl.bsky.social
Reposted by Frank Lin
Can a machine learning (ML) algorithm outperform PD-L1 as a predictive biomarker for response to first-line therapy in patients with advanced non–small cell lung cancer? New #JCOCCI pub: ascopubs.org/doi/full/10.... @emiliemgunn.bsky.social @acochran12733.bsky.social
ASCO Publications
ascopubs.org
January 6, 2025 at 2:13 PM
Can a machine learning (ML) algorithm outperform PD-L1 as a predictive biomarker for response to first-line therapy in patients with advanced non–small cell lung cancer? New #JCOCCI pub: ascopubs.org/doi/full/10.... @emiliemgunn.bsky.social @acochran12733.bsky.social
Reposted by Frank Lin
Just published editorial in #JCOCCI: Evaluating Cancer Screening in the Era of Advanced Causal Inference Methods: Innovation, Adherence, and Health Equity Considerations
ascopubs.org/doi/10.1200/...
#JCOJournals #oncsky @hemoncwarner.bsky.social
ascopubs.org/doi/10.1200/...
#JCOJournals #oncsky @hemoncwarner.bsky.social
Evaluating Cancer Screening in the Era of Advanced Causal Inference Methods: Innovation, Adherence, and Health Equity Considerations | JCO Clinical Cancer Informatics
ascopubs.org
January 10, 2025 at 10:30 PM
Just published editorial in #JCOCCI: Evaluating Cancer Screening in the Era of Advanced Causal Inference Methods: Innovation, Adherence, and Health Equity Considerations
ascopubs.org/doi/10.1200/...
#JCOJournals #oncsky @hemoncwarner.bsky.social
ascopubs.org/doi/10.1200/...
#JCOJournals #oncsky @hemoncwarner.bsky.social
Reposted by Frank Lin
New #JCOCCI publication describing a deep learning radiomic biomarker using pre-treatment imaging to identify immune checkpoint inhibitor benefit in advanced NSCLC. ascopubs.org/doi/full/10.... #lcsm @ascocancer.bsky.social @emiliemgunn.bsky.social
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non–Small Cell Lung Cancer | JCO Clinical Cancer Informatics
PURPOSEThis study developed and validated a novel deep learning radiomic biomarker to estimate
response to immune checkpoint inhibitor (ICI) therapy in advanced non–small cell lung
cancer (NSCLC) usin...
ascopubs.org
December 17, 2024 at 1:06 PM
New #JCOCCI publication describing a deep learning radiomic biomarker using pre-treatment imaging to identify immune checkpoint inhibitor benefit in advanced NSCLC. ascopubs.org/doi/full/10.... #lcsm @ascocancer.bsky.social @emiliemgunn.bsky.social
Reposted by Frank Lin
We have a new article in JCO CCI describing a symptom monitoring app that might help with endocrine therapy adherence; graphical abstract attached! #bcsm ascopubs.org/doi/full/10.... @acochran12733.bsky.social @drbeccak.bsky.social @emiliemgunn.bsky.social
December 9, 2024 at 7:18 PM
We have a new article in JCO CCI describing a symptom monitoring app that might help with endocrine therapy adherence; graphical abstract attached! #bcsm ascopubs.org/doi/full/10.... @acochran12733.bsky.social @drbeccak.bsky.social @emiliemgunn.bsky.social
Reposted by Frank Lin
New JCO CCI article: ascopubs.org/doi/full/10..... Jiang et al. used dynamic risk models to predict 5-year breast cancer risk in diverse populations. By using routinely collected interval imaging data, this modeling approach could enhance personalized screening strategies & early disease detection.
ASCO Publications
ascopubs.org
December 6, 2024 at 5:28 PM
New JCO CCI article: ascopubs.org/doi/full/10..... Jiang et al. used dynamic risk models to predict 5-year breast cancer risk in diverse populations. By using routinely collected interval imaging data, this modeling approach could enhance personalized screening strategies & early disease detection.