As we begin a new fall quarter, we are seeking new mechanisms to unify, synchronize, and synergize our work, building bridges across disciplines and creating pathways for bold ideas to launch. In an earlier era, digitization could mean isolation: data, knowledge, and processes confined within separate systems or organizational boundaries. Today, our digital ecosystem has evolved into a broad, dynamic, and increasingly interconnected environment. This living digital fabric creates unprecedented opportunities across departments, schools, sectors, and nations to share knowledge, accelerate discovery, improve health, and advance the common good.
The remarkable scholarly momentum of UC San Diego Biomedical Informatics illustrates what becomes possible through such connections. Our faculty and collaborators are advancing rigorous, clinically grounded artificial intelligence through large language model-enhanced sepsis prediction, multimodal mortality modeling, development of AI suitable data sets, emergency department note summarization, and structured evaluation of trust in responses to patient messages. Complementary work is translating digital innovation into the patient experience through an AI chatbot embedded in the patient portal, extended-reality approaches to informed consent, and continuous glucose monitoring during labor. Together, these studies reflect a commitment not simply to technological advancement, but to responsible, human-centered informatics that improves clinical utility, communication, workflow integration, and patient engagement. This spirit of synergy extends across an extraordinary range of scientific and clinical domains from critical care intelligence, learning health system innovation, to discovery of new cancer risk. Biomedical informatics serves as the connective discipline, linking molecular mechanisms with population-level evidence, computational innovation with clinical implementation, and discovery with measurable benefit for patients and communities.
In this newsletter, we invite you to enjoy some of new knowledge emerging from this vibrant landscape from our productive faculty and trainees as you imagine your own path toward new synergy. Whether through a shared dataset, an interdisciplinary partnership, a new analytic method, or a question that crosses traditional boundaries, each connection creates the possibility of something greater. This is our moment to connect, collaborate, and build the next generation of biomedical informatics together.
Amy M. Sitapati, MD
Interim Chief, Division of Biomedical Informatics, UCSD
Lawrence S. Friedman Professor of Population Health, Endowed Chair
Executive Director, Institute for Applied Health Intelligence
Pronouns: she/her/hers
Disclosure: Ideas generated by Sitapati, edited and revised by Microsoft co-Pilot
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UC San Diego Launches Institute for Applied Health Intelligence |
Under the leadership of DBMI Chief and Chair, Amy M. Sitapati, MD, UC San Diego has launched the Institute for Applied Health Intelligence, a multidisciplinary hub that brings together expertise and resources across six schools and UC San Diego Health to leverage the latest digital technologies, accelerate the delivery of data-driven, equitable health care, and improve patient outcomes. The Institute is designed to keep up with the rapidly emerging field of health intelligence by integrating state-of-the-art research infrastructure with expertise from across disciplines to harness technology’s potential and translate innovative ideas into meaningful improvements in care. “The convergence of computational power and biological insight represents the next frontier of medicine,” said John Carethers, MD, vice chancellor for Health Sciences at UC San Diego. “By erasing the traditional boundaries between engineering, medicine, business and data science, we are creating a collaborative ecosystem where the most complex health challenges are met with a unified, university-wide response.” Dr. Sitapati serves as the Inaugural Director of the Institute, sharing with UC San Diego Today, “If research is the brain and clinical care is the body, this institute will serve as the spinal cord, connecting our schools and care delivery into one responsive, intelligent organism.” Beyond the academic schools, the institute will bring together expertise from specialized centers including the San Diego Supercomputer Center and the School of Medicine’s Division of Biomedical Informatics. The Institute also partners with the Sanford Institute for Empathy and Compassion, the Center for Healthcare Cybersecurity, and the Jacobs Center for Health Innovation to ensure emerging technologies are developed and implemented responsibly. We invite you to read the full press release for the Institute for Applied Health Intelligence here.
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Curated Data Repository Version 9 Release for NIH All of Us Research Program |
Under the leadership of DBMI Chief and Chair and Principal Investigator, Amy M. Sitapati, MD, DBMI serves as a partner in the NIH All of Us Research Program's Coast-to-Coast Consortium. The NIH All of Us Research Program is now the world's largest integrated genomic and EHR database, with 747,000+ participants, 535,000+ whole genome sequences, 481,000+ linked electronic health records, 14,500+ long-read whole genome sequences and for the first time, proteomics (~10,000) and RNAseq data (~9,000), and 68,000+ participants with Fitbit wearable data. The science is already reaching patients: a first-of-its-kind genetic test, kidney disease discoveries, AI-validated Alzheimer's drug candidates, and step-count benchmarks now embedded in clinical guidance. As All of Us approaches the natural conclusion of its founding authorization under the 21st Century Cures Act, CDRv9 stands as proof of what sustained public investment in science can achieve. DBMI has been a proud partner of the All of Us program for the last 14 years, currently recruiting for the program Eyes on Health study. We are delighting by this amazing contribution to research.
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Quality and AI: Leveraging AI to Enhance How Physicians Approach Sepsis Care |
Led by DBMI faculty, Aaron Boussina, PhD, “Medical Record Abstraction for Quality Improvement in Sepsis Care Using Artificial Intelligence” in JAMA Network explores how artificial intelligence can be leveraged to improve quality measurement and feedback in sepsis care. Together collaborators including DBMI faculty Michael Hogarth, MD, Amy M. Sitapati, MD, Karandeep Singh, MD, Christopher Longhurst, MD, and Shamim Nemati, PhD used a cluster-randomized trial to evaluate whether AI-enabled medical record abstraction and near-real-time physician feedback could improve adherence to the CMS Severe Sepsis and Septic Shock Management Bundle (SEP-1) quality measure. Researchers used large language models (LLMs) to automatically review patient records, assess compliance with the CMS SEP-1 quality metric, and deliver targeted feedback to physicians to improve performance. The findings showed that LLM-enabled, near-real-time feedback significantly improved physician compliance with the CMS SEP-1 quality measure, suggesting that AI-enabled clinical quality integration may strengthen existing hospital quality reporting processes. In a news article by UCSD Health, Dr. Singh shared, “By using AI to quickly assess sepsis quality care measures, we are able to provide guidance to our care teams in the most teachable moment", noting that this feedback has not only improved compliance with national sepsis quality measures but has allowed for consistent improvements in quality of care. Dr. Boussina also noted privacy-preserving AI models can transform large volumes of medical record data into timely insights, helping clinicians incorporate best practices directly into patient care. We invite you to read the full publication here and the UCSD Health article here.
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Research in Public Health and AI: Can AI Deliver Guideline-Concordant CPR Instructions? |
Seeking to advance public support for CPR instructions with AI, this new publication, “An Artificial Intelligence–Enabled Cardiopulmonary Resuscitation Instructor” in JAMA Internal Medicine explores the potential for AI-enabled tools to support CPR instruction during cardiac emergencies. Collaborators including DBMI faculty Michael Hogarth, MD evaluated multiple AI models and developed a purpose-built system designed to provide guideline-based CPR guidance in emergency scenarios. The findings highlight the emerging role AI may play in supporting timely public response to out-of-hospital cardiac arrest and underscore the need for continued research and validation in real-world settings. We invite you to read the full publication here.
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DBMI Takes AMIA Amplify 2026 |
DBMI Chief, Amy M. Sitapati, MD, co-led with Dr. Adam Wright from Vanderbilt University at the 2026 American Medical Informatics Association (AMIA) Amplify Conference in Denver, where more than 1,000 attendees gathered to advance clinical and translational informatics.
In the Clinical Informatics track, Dr. Sitapati delivered the inaugural Year in Review presentation, synthesizing insights from more than 50,000 published articles into a comprehensive overview of the field. The presentation highlighted the rapid growth of randomized controlled trials evaluating health AI in real-world clinical settings and their impact on care delivery and patient outcomes. while also examining ongoing challenges related to AI performance, governance, trust, and environmental sustainability.
Dr. Sitapati also recognized the contributions of the Lawrence S. Friedman Professor of Population Health Endowed Chair, Mikael Guzman Karlsson, Matthew G. Bayes, Eileen Kim, MD, Ruth S. Laverde, DBMI predoctoral student Yufei (Grace) Yu, DBMI NLM postdoctoral trainee Nicholas Neel, MD, and Alexander T. Lo for their support and collaboration.
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We invite you to help us celebrate our most recent DBMI birthdays! Happy Birthday to the following DBMI’ers!
Nancy Herbst , MBA - May 20th
Shamim Nemati, PhD - June 6th
Angelina Cordaro - June 28th
Oriana Aguilar - July 2nd
Grecia Limon - July 17th
Jejo Koola, MD - July 28th
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Celebration of Life - Elizabeth Bell |
We remember the passing of Elizabeth Bell with gratitude for her many contributions to DBMI. Through her work as a project manager, particularly her support of IRB processes and research operations, she helped enable the success of countless projects and colleagues. We honor her service, friendship, and the positive difference she made in our community.
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We say goodbye to DBMI Director, Nancy Herbst, MBA, as she embarks on her new journey of retirement. Nancy ended her journey here at UCSD after 13 years of dedicated service. Nancy served as the DBMI Director for the last 10 years, supporting the department and beyond with her exceptional leadership, wealth of institutional knowledge, and unwavering willingness to help others. Her warmth, generosity, and expertise will be deeply missed. We wish Nancy and her husband all the best as they begin this exciting new chapter together.
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We say goodbye to DBMI All of Us Consortium Program Manager, Jamie Le, as she embarks on a new chapter in her life. Jamie concludes her journey here at DBMI after 5 years of impactful service, beginning as the All of Us Consortium Program Manager and later the Consortium Program Manager. We thank Jamie for her support on the All of Us team and broader DBMI with her leadership, collaboration, and technical expertise. Her creativity and kindness will be missed. We wish her the best as she begins her new journey.
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Congratulations to Oriana Aguilar! |
Congratulations are in order for DBMI’s new All of Us Consortium Program Manager, Oriana Aguilar on her recent engagement to her longtime partner! We are thrilled to celebrate this exciting milestone and wish the happy couple a lifetime of love and happiness. Oriana has been a valued member of the DBMI All of Us team for the last 6 years. She began as a Clinical Research Coordinator and Recruiter, advancing to Lead Clinical Research Coordinator and Recruitment Manager, and most recently stepping into her new role as All of Us Consortium Program Manager. We congratulate Oriana on both this exciting personal milestone and her well-deserved professional achievement!
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Medscape Interview: Exploring the Early Onset of Barrett Esophagus |
BISB/BMI predoctoral trainee Samuel Reynolds and his mentor, DBMI faculty member Kathleen Curtius, PhD, sat down for an interview with Medscape to discuss recent study examining Barrett’s esophagus. Barrett's esophagus is a precancerous condition of the distal end of the esophagus that is asymptomatic but can lead to a type of esophageal cancer called esophageal adenocarcinoma. The study, led by Reynolds, Molecular age of Barrett’s esophagus suggests that onset often occurs decades before clinical diagnosis, aimed to determine how long Barrett’s esophagus may be present before it is clinically diagnosed and whether the timing of its onset has clinical significance. Funded by a Cancer Research UK Early Detection Primer Award with some collaborators in Northern Ireland, the team created epigenetic data from 174 patients from two separate cohorts in the United Kingdom to estimate Barrett's esophagus onset age using a molecular clock. They found that many patients had Barrett’s present between ages of 20-30 years old. Suggesting that it can remain undetected for years, and may allow for cancerous mutations to accumulate long before diagnosis. The team also found suggestive evidence that women develop Barrett's later compared to men. The findings support the current shift toward more personalized Barrett’s esophagus screening guidelines based on multiple risk factors rather than relying on the standard screening threshold of age 50 or older. We invite you to read watch the full interview here.
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On the Horizon: Characterization and Validation of ACEs Data in the All of Us Research Program |
BISB predoctoral trainee, Dan Musachio, under the mentorship of DBMI Chief, Amy M. Sitapati, MD, led a study characterizing newly released Adverse Childhood Experiences (ACE) data from the NIH All of Us Research Program’s Curated Data Repository Version 9 (CDRv9). In the cross-sectional study, researchers characterized the newly released 11-item ACE questionnaire using data from 137,946 All of Us Emotional Health History and Well-Being survey respondents. The study found that the newly released ACE questionnaire demonstrated good reliability, with 90,540 participants completing all 11 items. Increasing ACE burden was associated with higher odds of several clinical and social outcomes, with the strongest associations observed for post-traumatic stress disorder, food insecurity, bipolar disorder, suicidal ideation and self-harm, and substance use disorder. The prevalence of these outcomes generally increased with greater ACE burden, supporting a dose-response relationship. These findings establish the All of Us ACE dataset as a reliable resource for future research on childhood adversity and its impact on health. We invite you to read the full preprint here.
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We want to take time to celebrate the following students for successfully defending their dissertations!
Brian Daniel Johnson
"Modeling precancerous evolution to improve cancer prevention strategies"
David Laub
“Predicting gene expression from personal genomes, and what determines it in tumors”
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Giving Recognition and Feedback |
Did you know that you can give recognition to another UCSD Health employee using the MyPerformance system? Go into MyPerformance (Blink > Personal > UCLearning > MyPerformance > Continuous Feedback > Provide Recognition) to give them a shout-out. The staff member will receive notice of the positive recognition, and their supervisor will be cc’ed. If you received fantastic service from someone in IT, HR, housekeeping, or a colleague, don’t hesitate to use the system to thank them.
Did you know that DBMI has a virtual suggestion box where you can provide anonymous feedback? You can access that here. You can also access the virtual suggestion box on the DBMI website – scroll to the bottom of the homepage and click on the feedback link.
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New Articles by Faculty, Staff, & Trainees |
Have your presented a poster recently? Please provide an electronic copy to
Maria (M1Triplett@health.ucsd.edu) so we can include it in our next newsletter
and promote your great work across campus.
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Pinson K, Kim JJ, Sharma N, Kobayashi E, Majithia AR, Stanley V, Ramos GA. Characterizing glucose in labor: Continuous glucose monitoring in parturients without diabetes. Pregnancy (Hoboken). 2025 Sep 26;1(5):e70108. doi: 10.1002/pmf2.70108. eCollection 2025 Sep. PMID: 42597228 Free PMC article.
Ahuja D, Yeh KH, Park SK, Qi Y, Patel SB, Goodwin SW, Vuyyuru SK, Malik TA, Ramos GP, Silverman A, Singh N, Olen O, Ananthakrishnan AN, Jairath V, Xu R, Singh S. Cancer Risk with Advanced Therapies in Patients with Inflammatory Bowel Diseases: An Administrative Claims-based Study. Clin Gastroenterol Hepatol. 2026 Aug 17:S1542-3565(26)00594-X. doi: 10.1016/j.cgh.2026.08.003. Online ahead of print.PMID: 42607853
Allison C, Lu X, Boussina A, Nemati S, Wardi G. Improving sepsis best practice utility and clinical acceptance using an LLM-enhanced prediction system. Npj Health Syst. 2026 Aug 5;3(1):72. doi: 10.1038/s44401-026-00127-7. PMID: 42552440 Free PMC article.
Mamandipoor B, Hsu CN, Krause M, Schmidt UH, Gabriel RA. Development and external validation of a multimodal artificial intelligence mortality prediction model of critically ill patients using multicenter data. Anesthesiology. 2026 Aug 4. doi: 10.1097/ALN.0000000000006294. Online ahead of print. PMID: 42549798
Allen MR, Tiyyala VM, Johal A, Chekuri A, Conner E, Desai N, Dykes K, Jain T, Jeong AR, Mitchell W, Patel SP, Ramesh K, Schillinger D, Schiach J, Vu P, Smith D, Dredze M, Farcas E, Hogarth M, Ayers JW. Evaluating Healthcare Provider and Artificial Intelligence Chatbot Responses to Patient Messages from a Health System Using the CREATE TRUST Framework. J Health Commun. 2026 Jul 27:1-10. doi: 10.1080/10810730.2026.2707323. Online ahead of print.PMID: 42515991
Chae YK, Sun R, Patel SP, Giles F, Ohr JP, Worden FP, Suga JM, Naing A, Cohen EE, Wallace J, Kang HS, Fenton S, Chung LI, McLeod CM, Chen HX, Sharon E, Streicher H, Ryan CW, Othus M, Blanke CD, Kurzrock R. A phase II basket trial of DART SWOG S1609: the salivary gland tumor cohort. Ther Adv Med Oncol. 2026 Jul 23;18:17588359261451739. doi: 10.1177/17588359261451739. eCollection 2026. PMID: 42499790 Free PMC article.
Chriqui S, Ryan JF, Luu BK, Tran M, Fergerson B, You A, Dameff C, Suresh PJ, Tully JL. Patient Perception of the Use of the Apple Vision Pro Virtual Reality Headset in an Anesthesiology Informed Consent Process: Prospective Randomized Controlled Crossover Trial. JMIR XR Spat Comput. 2026 Jul 23;3:e95806. doi: 10.2196/95806. eCollection 2026.PMID: 42499682 Free PMC article.
Tomechko K, Azenkot T, Conway DA, Patel SP, Irene Su H. Fertility Treatment Using Assisted Reproductive Technology During Immune Checkpoint Inhibition: Report of Two Cases. Oncologist. 2026 Jul 15:oyag273. doi: 10.1093/oncolo/oyag273. Online ahead of print. PMID: 42458205
Wang R, Agarwal J, Huang Y, Wen T, D'Alton M, Friedman AM. Risk Factors Associated with Delivery Hospitalization Pulmonary Embolism. Am J Perinatol. 2026 Jul 13. doi: 10.1055/a-2911-5301. Online ahead of print. PMID: 42442713
Sarker MR, Wiley R, Lacoursiere DY, Noonan G, Rogerson D, Wen T, Gyamfi-Bannerman C, Emeruwa UN. The association of maternal body mass index and cesarean delivery after preterm induction of labor. Am J Obstet Gynecol MFM. 2026 Jul;8(7):101972. doi: 10.1016/j.ajogmf.2026.101972. PMID: 42379687 No abstract available.
Legala AR, Nishida T, Liang A, Granet D, Burnett LA, Baxter SL, Rudell JC. Role of Menopausal Hormone Therapy on Strabismus, Strabismus Surgery, and Reoperation Rates. Am J Ophthalmol. 2026 Jul 1:S0002-9394(26)00361-2. doi: 10.1016/j.ajo.2026.06.050. Online ahead of print. PMID: 42385926
Ngo ND, Singh A, Hampton S, Piccioni DE, Patel SP. Incidence of neutropenia with intrathecal pemetrexed for leptomeningeal disease associated with solid tumors - A retrospective analysis. J Oncol Pharm Pract. 2026 Jun 30:10781552261460354. doi: 10.1177/10781552261460354. Online ahead of print. PMID: 42377304
Gupta P, Nemani A, de Sa VR, Pearce AK, Nemati S, Malhotra A, Adams JY. Deep learning for time-series segmentation of mechanical ventilator waveforms. Sci Rep. 2026 Jun 28. doi: 10.1038/s41598-026-58565-0. Online ahead of print. PMID: 42366236
Feng X, Zhang S, Wang Y, Kurlagunda T, Sit A, Jaishankar P, Yang P, Sakane S, Park SY, Wisessaowapak C, Nguyen K, Yan J, Pothulu H, Dinh C, Chu F, Ren Y, Zhang B, Secrest P, Han L, Hung CW, Veeragandham P, Skorobogatko Y, Kisseleva T, Gordts PLSM, Renslo AR, Zhao P, Majithia AR, Saltiel AR. Dietary cholesterol activates a Ral-dependent pathway driving LDLR turnover. Nature. 2026 Jun 24. doi: 10.1038/s41586-026-10697-z. Online ahead of print. PMID: 42343138
Tai-Seale M, Millen M, Vaida F, Barbato C, Diaz J, Walker A, Singh K, Sitapati A, Pham D, Tran A, Ficklin-Badaloni K, Soberg C, Dang L, Mandvi A, Graham R, Tang A, Allen N, Seale T, Longhurst CA. Early experience with a patient-facing AI chatbot integrated in a patient portal. JAMIA Open. 2026 Jun 20;9(3):ooag083. doi: 10.1093/jamiaopen/ooag083. eCollection 2026 Jun. PMID: 42327621 Free PMC article.
Yeh KH, Ahuja D, Patel SB, Xu R, Park SK, Gold S, Ramos GP, Malik T, Kaur M, Bering J, Ha CY, Jairath V, Goodwin SW, Singh S. Adjunctive GLP1 Receptor Agonists in Patients with Inflammatory Bowel Diseases and Obesity and/or Diabetes: A Target Trial Emulation. Clin Gastroenterol Hepatol. 2026 Jun 17:S1542-3565(26)00442-8. doi: 10.1016/j.cgh.2026.06.008. Online ahead of print. PMID: 42309434
Menezes AC, Deuitch NT, Pintuff A, Zhen T, Wincovitch S, Ozturk K, Carter H, Ripperger T, Godley LA, Liu PP. Functional analysis of germline RUNX1 variants identified in individuals with suspected familial platelet disorder. Blood Adv. 2026 Jun 16:bloodadvances.2026019984. doi: 10.1182/bloodadvances.2026019984. Online ahead of print. PMID: 42308221
Grayson H, Friedman AM, Simpson L, Goffman D, D'Alton M, Andrikopoulou M, Wen T. Maternal outcomes associated with a statewide severe hypertension obstetric quality improvement initiative. Am J Perinatol. 2026 Jun 10. doi: 10.1055/a-2891-3037. Online ahead of print. PMID: 42269710
Zhou JW, Kalaw FGP, Saseendrakumar BR, Baxter SL, Liu CY, Korn BS, Kikkawa DO. Use of electronic health records to examine margin-to-reflex distance in patients without eyelid conditions affecting position. Int Ophthalmol. 2026 Jun 9;46(1):258. doi: 10.1007/s10792-026-04124-5. PMID: 42262631 Free PMC article.
Doroshow DB, Leal TA, Waqar SN, Borghaei H, Camidge DR, Dragnev KH, Edelman MJ, Gandara DR, Gerber DE, Gray JE, Hirsch FR, Husain H, Kozono DE, Leighl NB, Li BT, Mack PC, Neal JW, Paik PK, Patel SP, Riess JW, Redman MW, Reckamp KL. Resistance to Immune Checkpoint Inhibitor Treatment in Non-Small Cell Lung Cancer Clinical Trials: A Perspective From Lung-MAP Investigators. J Clin Oncol. 2026 Jun 3:JCO2501896. doi: 10.1200/JCO-25-01896. Online ahead of print. PMID: 42234933 No abstract available.
Nishida T, Mittal R, Weinreb RN, Soltani G, Hashemi SM, de Oliveira Pereira A, Hallaj S, Baxter SL, Maghsoudipour M, Moghimi S. Positive Airway Pressure and Long-Term Glaucoma Risk in Obstructive Sleep Apnea: A Real-World Cohort Study. Ophthalmol Glaucoma. 2026 Jun 2:S2589-4196(26)00091-8. doi: 10.1016/j.ogla.2026.05.012. Online ahead of print. PMID: 42235822
You AX, Kahl NM, Patel A, Cao J, Castillo EM, Bedmutha PS, Chan T, Singh K, Longhurst CA. Artificial Intelligence Note Summarization in the Emergency Department. JAMA Netw Open. 2026 Jun 1;9(6):e2618021. doi: 10.1001/jamanetworkopen.2026.18021. PMID: 42313387
Wilkinson MJ, Padilla E, Wang Y, Raygani S, Manoogian ENC, Laing K, Tong K, Liu L, Van D, Nguyen J, Saltiel AR, Reilly SM, O'Neal M, Panda S, Majithia AR, Taub PR. Time-Restricted Eating Promotes Weight Loss and Favorable Changes in Adipose in Obesity: The TREAD Randomized Control Trial. Obesity (Silver Spring). 2026 Jun 2. doi: 10.1002/oby.70228. Online ahead of print. PMID: 42229885
Hallaj S, Nishida T, Kamalipour A, Longhurst CA, Freeman WR, Baxter SL, Boussina A. Glucagon Like Peptide 1 Receptor Agonists and Age-Related Macular Degeneration Incidence. Ophthalmol Retina. 2026 Jun 1:S2468-6530(26)00266-6. doi: 10.1016/j.oret.2026.05.016. Online ahead of print. PMID: 42229850
Cai CX, Toy B, Martin B, Fan R, Westlund E, Tran D, Nishimura A, Lee H, Leng T, Nagy P, Mathioudakis N, Zhang L, Hribar M, Chen A, Armbrust K, Goetz K, Baxter S, Boland MV, Brown EN, Tsui E, Barkmeier AJ, Wang S, Mehta N, Stocking JC, O'Keefe G, Lee CS, Payne PRO, O'Brien WJ, DuVall S, Alshammari T, Falconer T, Dorr DA, Humes I, McCoy D, Adibuzzaman M, Mahmood R, Morgan-Cooper H, Desai P, Kothari SY, Sena A, Blacketer C, Ostropolets A, Shoaibi A, Rao G, Hripcsak G, Ryan P, Suchard MA. Semaglutide and Neovascular Age-Related Macular Degeneration Among Adults with Type 2 Diabetes: An OHDSI Network Study. Ophthalmology. 2026 Jun 1:S0161-6420(26)00382-9. doi: 10.1016/j.ophtha.2026.05.034. Online ahead of print. PMID: 42229813
Plackett R, Moro A, Zhao R, Ettefaghian A, Lafitte D, Reed C, Hertelendy AJ, Wong TY, Sitapati AM, Longhurst C, Car J. Impacts of epic MyChart and healthy planet on clinical care measures: a scoping review protocol. BMJ Open. 2026 Jun 1;16(6):e117420. doi: 10.1136/bmjopen-2026-Boussina A, Allison C, Quintero K, Jain S, VanDenBerg C, Hogarth M, Sitapati AM, Singh K, Malhotra A, McCurdy MT, Longhurst CA, Ford JS, Chan T, Ishimine P, Childers R, Nemati S, Wardi G. Medical Record Abstraction for Quality Improvement in Sepsis Care Using Artificial Intelligence: A Cluster Randomized Trial. JAMA Netw Open. 2026 Jun 1;9(6):e2611885. doi: 10.1001/jamanetworkopen.2026.11885. PMID: 42348212 Clinical Trial.
Tran NM, Yousif Z, Athavale A, Nemati S, Macedo E. Temporal Recurrent Neural Networks for Predicting Acute Kidney Injury Recovery by Time of Discharge.AMIA Jt Summits Transl Sci Proc. 2026 Jun 1;2026:468-477. eCollection 2026. PMID: 42317853 Free PMC article.
Bui QM, Berninger T, Morales A, Korty L, Allen LA, Adler ED, Urey MA, Hong KN, Rabin B, Bloss C. A pilot qualitative study of patient understanding and perceptions of genetic counselors and cascade testing in the context of transthyretin cardiac amyloidosis. J Genet Couns. 2026 Jun;35(3):e70249. doi: 10.1002/jgc4.70249. PMID: 42324791 Free PMC article.
Ekbote N, Akhondzadeh M, Graham R, Bell J, Glasser D, El-Kareh R, Chua A, Boussina A, Tai-Seale A, Poursoltan L, Singh K, Agnihotri P, Tai-Seale M. Large Language Models for Summarizing Advance Care Planning Information From Goals of Care Notes in the EHR. Learn Health Syst. 2026 May 27;10(Suppl 1):e70086. doi: 10.1002/lrh2.70086. eCollection 2026 May. PMID: 42253468 Free PMC article.
Lu K, Patel SP, Azenkot T. Characteristics and Clinical Outcomes of De Novo and Acquired Uncommon Compound EGFR Mutations in Patients With Advanced Non-Small Cell Lung Cancer: A Brief Report. Clin Lung Cancer. 2026 May 27;27(6):64-67. doi: 10.1016/j.cllc.2026.05.005. Online ahead of print. PMID: 42320198
Rao MG, Wen T, D'Alton M, Logue TC, Friedman A, Zork N. Adverse outcomes during delivery hospitalizations among patients with diabetes and an intellectual or developmental disability diagnosis. Am J Obstet Gynecol MFM. 2026 May 27:101994. doi: 10.1016/j.ajogmf.2026.101994. Online ahead of print. PMID: 42208735
Kong J, Lee I, Boecher D, Singhal A, Kelly MR, Moon J, Ahn CH, Ock CY, Pratt D, Kumar T, Sears TJ, Laub D, Wright S, Wall P, Carter H, Wang Z, Ideker T. A foundation model of cancer genotype enables precise predictions of therapeutic response. Cancer Discov. 2026 May 26. doi: 10.1158/2159-8290.CD-25-1735. Online ahead of print. PMID: 42188872
Casebolt P, Rice K, Harris V, Agnihotri P, Tai-Seale M, Liu L, Martinez ME, Gupta S, Demb J. Colorectal Cancer Screening Uptake Across Age Groups in an Academic Health System. Am J Prev Med. 2026 May 25:108365. doi: 10.1016/j.amepre.2026.108365. Online ahead of print. PMID: 42201273
Fiscalini A, Blum K, Fergus K, Hiatt RA, Naeim A, Kaster A, Scheuner MT, van 't Veer LJ, LaCroix AZ, Borowsky AD, Olopade OI, Park HL, Esserman J, Lancaster R, Heditsian D, Brain S, Lee V, Goodman DL, Ross KS, Wenger N, Parker BA, Madlensky L, Tice JA, Shieh Y, Ziv E, Arasu VA, Anton-Culver H, Kaplan CP, Rhoads KF, Badal K, Hogarth M, Petruse A, Soto IA, Leggat-Barr K, Goodman S, Atamer J, Ryu R, Adduci K, Matthews JB, Eklund M; Athena/WISDOM Network Collaborators and Advocate Partners; Sabacan LP, Esserman L. WISDOM randomized trial comparing risk-based versus annual breast cancer screening: study cohort characteristics and design. NPJ Breast Cancer. 2026 May 24. doi: 10.1038/s41523-026-00952-x. Online ahead of print. PMID: 42177197
Boussina A, Sitapati AM, Yoon SY, Karne S, Seo J, Kim WJ, Hwang HS. Machine Learning-Predicted Risk Trajectories for Incident Chronic Kidney Disease and Associations with Post-CKD Outcomes. J Med Syst. 2026 May 23;50(1):86. doi: 10.1007/s10916-026-02413-1. PMID: 42176190
Zhu Z, Han W, Deng Y, Jia Z, Baidwan G, Wu L, Jakhmola S, Wang T, Logeswaran D, Wen J, Sun AY, Bray B, Li N, Wang L, Hui H, Wu J, Patel SP, Rana TM. microRNA-25 drives immune checkpoint therapy resistance by repressing innate and humoral immunity via Syndecan-3. Nat Commun. 2026 May 20. doi: 10.1038/s41467-026-73339-y. Online ahead of print. PMID: 42161938
Akarapimand P, Lin JC, Scott IU, Baxter SL. Broadband Access and Ophthalmologist Density in the United States: Cross-Sectional Questionnaire Study. JMIR Public Health Surveill. 2026 May 19;12:e88473. doi: 10.2196/88473. PMID: 42155086 Free PMC article.
Nagel ID, Dysli C, Walker E, Kalaw FG, Mehta NN, Yassin SH, Baxter S, Hallaj S, Zangwill L, Bartsch DU, Freeman WR, Borooah S. Characterization of Pentosan Polysulfate Sodium Maculopathy With Fluorescence Lifetime Imaging. Retina. 2026 May 15. doi: 10.1097/IAE.0000000000004883. Online ahead of print. PMID: 42138584
Winter EE, Wen T, Goffman D, D'Alton ME, Simpson LL, Andrikopoulou M, Friedman AM. Maternal Outcomes Associated With a Statewide Obstetric Hemorrhage Quality-Improvement Initiative.Obstet Gynecol. 2026 May 15. doi: 10.1097/AOG.0000000000006320. Online ahead of print. PMID: 42133948
Ramsis M, Fascetti AJ, Naguib MH, Nemati S, Taub PR, Longhurst CA, Ross EG, Wang EJ. Development and validation of a digital biomarker for peripheral artery disease. NPJ Digit Med. 2026 May 12. doi: 10.1038/s41746-026-02655-w. Online ahead of print.PMID: 4212055
Carri I, Greenbaum J, Yan Z, Kim K, Kim H, Premlal ALR, Marrama D, Blazeska N, Carter H, Lee KH, Sears T, Nielsen M, Sette A, Peters B, Koşaloğlu-Yalçın Z. Cancer epitope prediction tools and analysis pipelines in CEDAR. Nucleic Acids Res. 2026 May 12:gkag457. doi: 10.1093/nar/gkag457. Online ahead of print. PMID: 42116703
Heinke A, Huang L, Simpkins KU, Kalaw FGP, Karsolia A, Singh K, Soundarajan S, Panny B, Nebeker C, Baxter SL, Lee CS, Lee AY, Patel B; AI-READI Consortium. Dataset documentation for responsible AI: analysis of suitability and usage for health datasets. NPJ Digit Med. 2026 May 9. doi: 10.1038/s41746-026-02714-2. Online ahead of print.PMID: 42106553
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