The future of health is intertwined with up-leveling our data. Our ability to understand, harness, and interpret data at unprecedented speed, scale, and volume is the ‘wave’ momentum that can have impact to outcomes. Health informatics is the secret sauce in making data usable ‘de-coding’ and ‘re-coding’ that middle layer to drop the right information to the right workflow at the right time. Health data rolling like a wave is living, evolving, and flowing into our ecosystems that demands increases in our contextual awareness, seamless interoperability, and integrated real-time intelligence. This momentum empowers patients, clinical teams, researchers, public health, and policy makers the opportunity to make faster more accurate decisions that impact patient outcomes and our public health.

In order to advance the future of science in medicine – we need to elevate beyond our data and embrace the volume, veracity and velocity of data while making sure that insights are delivered that have measurable impact. Today, the tsunami of healthcare needs ashore our practice and communities have impacted access to care, safety, quality, and wellness. Health informatics across schools and disciplines is poised to advance the momentum to implement change and unlock the full potential of health data. This call is to each of you. Solve the problems at hand in real-world medicine, you are better equipped than you realize and we are learning together every day.

Amy M. Sitapati, MD

Interim Chief, Division of Biomedical Informatics, UCSD

Interim Chair, Department of Biomedical Informatics, UCSDH

Lawrence S. Friedman Professor of Population Health, Endowed Chair at UCSD

Pronouns: she/her/hers

DBMI Chief and Chair, Amy Sitapati, MD, has been awarded the Association of Medical Directors of Information Systems (AMDIS) Award for Excellence, Outstanding Achievement and Special Recognition in Applied Medical Informatics. This prestigious award from the Association of Medical Directors of Information Systems (AMDIS) recognizes her impactful research on how AI and standardization can accelerate improvements in healthcare. AMDIS is the leading professional organization for physicians involved in healthcare information technology. Its annual award celebrates individuals and organizations that have demonstrated outstanding achievement in the field. In an article by UCSD School of Medicine, Howard Landa, MD, Chair of the AMDIS Advisory Board, praised Dr. Sitapati as "a great advocate for clinical informatics of population health, health equity, and social determinants," adding, “It is truly a pleasure for AMDIS to honor her.” In response to receiving the award, Dr. Sitapati expressed humility and spoke more on her inspiration to pursue biomedical informatics. We invite you to read more here.

STAT News has released its 2025 STATUS List, featuring DBMI faculty member Karandeep Singh, MD, MMSc. The STATUS List highlights 50 influential individuals shaping the future of health and life sciences across biotechnology, medicine, healthcare, policy, and health tech. This year’s list emphasizes leaders driving impact within the healthcare system. Dr. Singh was recognized in the academic sector for his leadership in researching the adoption of AI systems in healthcare. He is known for highlighting the "Health AI paradox" and for his work examining the performance of a widely used sepsis detection algorithm developed by Epic Systems. We invite you to learn more and view the full 2025 STATUS List here.

UC San Diego Health hosted its annual Health Data Science day, in partnership with DBMI, ACTRI, and JCHI with more than 220 registrants. We had more than 220 registrants to the June 2025 event. Attendees included students, staff, and researchers from School of Medicine, UC San Diego Health, Jacobs School of Engineering, La Jolla Institute for Immunology, Skaggs School of Pharmacy and Pharmaceutical Sciences, and more! Catriona Jamieson, MD, PhD, from UCSD Health Division of Hematology/Oncology kicked us off with an inspirational perspective on the promise of big data, Todd Ferris, MD, MS, from Stanford shared wisdom related to safe use, Alexander Khalessi, MD, MBA, Chair of UCSD Health Department of Neurological Surgery charged us to apply knowledge to advance patient care, and UCSD School of Medicine Dean Barbara Jung celebrated awards in our final ceremony. This year’s event spotlighted the implementation of EPIC Cosmos at UC San Diego Health, featuring presentations by EPIC partners and an interactive walk-through demo of the platform. Attendees also had the opportunity to participate in a hands-on hackathon led by clinical faculty. Participants joined faculty-led teams to address real-world clinical challenges—ranging from breast cancer survivorship to ocular health to acute care quality—using Cosmos to conduct research and develop innovative solutions.

Award winners!

Most likely to impact clinical outcomes: Team Leo led by Marshall Frieden, Michael Nies, Richard Nguyen. Topic: Evaluate the underdiagnoses of pre-diabetes in patients who have A1C 5.7 to <6.5 and consider the implications to early intervention.

Most creative and innovative use of Cosmos: Team Comet led by DBMI faculty Karandeep Singh, MD, MMSc and Jie Cao . Topic: What percentage of patients discharged from the emergency department without being admitted come into the ER from clinic?

Most likely to be published: Team Nova led by DBMI faculty Sally Baxter, MD,MSc, Pricilla Jayaprakash, and Eric Varley. Topic: Are weight loss drugs associated with an increased risk of blindness?

We thank all who attended and offer special appreciation to the faculty members and dedicated staff who participated and helped organize the event.

DBMI faculty, Sally Baxter, MD,MSc, was featured in CAKE Magazine as a pioneer in reshaping patient care with Big Data, retinal imaging, and a commitment to equity in AI. In a three-page cover story, Dr. Baxter details her journey in informatics and AI. Starting from her master’s thesis on addressing blindness in Belize through information systems and data standardization, to her current work at UC San Diego. After completing residency at UCSD School of Medicine, Dr. Baxter joined the faculty with dual appointments in medicine (division of biomedical informatics) and ophthalmology. She shares that she feels “very fortunate” to be involved with several- diversity-focused research initiatives including the Bridge2AI program and All of Us Research Program. Dr. Baxter talks more on her research, milestones, family life, and work-life balance. We invite you to read the full cover in Issue 25 here. 

The "one-size-fits-all" approach to administering antibiotics in emergency departments has driven up utilization, contributing to the rise of dangerous, antibiotic-resistant "super-bugs" and causing unnecessary patient side effects. New research from UC San Diego Division of Biomedical Informatics and Department of Emergency Medicine now points to a smarter, more personalized path forward using artificial intelligence (AI). Research led by Ben Gross, PhD, DBMI postdoctoral trainee within Shamim Nemati, PhD, Lab, in collaboration with Dr. Gabriel Wardi of the Division of Critical Care within the Department of Emergency Medicine, offers a powerful alternative. The team used two AI models, COMPOSER and Shock-Net, to analyze over 34,000 emergency encounters and risk stratify patients and guide antibiotic administration in patients with potential sepsis.

The results were striking: the AI models identified more than a third of patients as low-risk. For this group, the study found that early antibiotic administration made no difference in mortality rates, contrary to international guidelines. This suggests that for many patients, a more flexible, risk-adapted approach may be safe. The power of this approach lies in its ability to stratify patient risk in real-time, giving emergency department clinicians a crucial tool for precision care. This work also showcases the power of real-world data and UC multi-campus collaboration, as it utilized information from both UC San Diego Health and UC Irvine Health.

These findings have major implications for antibiotic stewardship. By leveraging AI to personalize decisions around the timing and selection of antibiotics, clinicians can move beyond rigid guidelines. This new approach promises to improve patient outcomes, reduce harmful side effects, and ensure our most powerful medicines remain effective for years to come.

This research was partially funded through a UCOP Multi-campus Research Programs and Initiative (MRPI) grant.

Our DBMI California Integrated Vital Records System Team celebrates the launch of California Department of Public Health’s new app called California Life Events. The CA Life Events pilot has first kicked off at UC San Diego Health and seeks to advance data collection in the age of the electronic health record. This app enables California expecting parents to start their child's birth certificate before delivery. We are grateful for the strong support of our partner collaborators within the UC San Diego Departments of OBGYN & Reproductive Sciences, Family Medicine, Registration, and Information Services teams including the leadership of Dr. Erin Gross and Dr. Geneen Gin. UCSDH is the first birthing hospital to implement this next generation of vital records with our first deployment at UCSDH Villa La Jolla OB-Gyn in July 2025. The new workflow is expected to support parents to (1) Enter birth certificate details in advance and at their own pace (2) Reduce the stress of filling out paper forms at the hospital, and (3) Improve experience for the healthcare provider team. The app also supports hospital staff by lowering the amount of paper collected data that is entered into the computer and improving accuracy and efficiency. Additionally, we are modernizing data transfer from the Birth and Fetal Death registration system to enable information retrieval from the EHR (with patient approval) that improves the registration workflow. Partnerships with the Departments of OBGYN & Reproductive Services and Family Medicine, and UC San Diego Health Information Services and Registration staff helped us lead the way in the modernization of vital records – Thank you!

DBMI faculty, Sally Baxter, MD, MSc, presented at a community event hosted by All of Us Research Program community collaborators at San Ysidro Health. Dr. Baxter spoke on leveraging the NIH All of Us Research Program to enhance understanding of glaucoma in Hispanic/Latino populations using genetic data. Her presentation was also in support of Dr. Baxter’s involvement in the Healthy Americas Foundation Todo Juntos grant. The grant supports scholars conducting research on chronic diseases impacting Hispanic communities. Dr. Baxter shares the event was a great and an awesome opportunity to share research findings with local community members. We thank her for sharing! 

DBMI Predoc and NLM trainee, Hyrum Eddington was awarded the U.S. National Science Foundation (NSF) Graduate Research Fellowship. The purpose of the NSF Graduate Research Fellowship is to help ensure the quality, vitality, and strength of the scientific and engineering workforce of the United States. The NSF Graduate Research Fellowship Program supports outstanding graduate students pursuing full-time, research-based master's and doctoral degrees in science, technology, engineering, mathematics (STEM), or STEM education. The program provides three years of support to individuals who demonstrate exceptional potential for significant research contributions and leadership in their fields. We recognize all the hard work and dedication made by Hyrum and his mentor, DBMI faculty member, Kathleen Curtius, PhD, in making this possible. Congratulations to Hyrum and this amazing achievement!

DBMI Predoc, Kuan-Hung (Peter) Yeh recently presented at the 16th Annual Division of GI & Hepatology Research Symposium one of his research projects with mentor DBMI joint faculty, Siddarth Singh, MD. Peter presented on comparative safety of Janus Kinase inhibitors vs. Tumor Necrosis Factor Antagonists in patients with Inflammatory bowel diseases. Comparing safety outcomes for two kinds of medications (JAK inhibitors vs TNF antagonists). This project has since been formally accepted by Clinical Gastroenterology and Hepatology Journal.  Below are some descriptions for the background, findings, and implications for this research project provided by Peter.

Background: Safety concerns have been raised with JAK inhibitors compared with TNF antagonists in older adults with rheumatoid arthritis. It is unclear whether this applies to patients with IBD.

Findings: In patients with IBD, while JAK inhibitors are associated with a higher risk of overall infections compared with TNF antagonists, the risk of serious infections requiring hospitalization, venous thromboembolism, and major adverse cardiovascular events is similar.

Implications for patient care: JAK inhibitors may be as safe as TNF antagonists for most patients with IBD.

In a recent publication, DBMI predoc, Lauryn Keeler Bruce, co-authored an observational study examining if intraindividual variability of physical activity (PA)is affected by biological sex and if menstrual cycles (as indicated by temperature rhythms) contributed to an increase female intraindividual physical variability. The study did find that female participants, regardless of menstrual cycle, demonstrated lower intraindividual variability in PA when compared to males. However, female participants with menstrual cycles did not have greater intraindividual variability In PA compared to those with menstrual cycles. Other findings concluded that intraindividual variability in PA did differ based on weekly time scale and age. We invite you to read the full publication here.

During my summer internship at DBMI, I had the opportunity to work on a project developing quantum machine learning models to predict ICD billing codes using patient chart data. Going into the internship, I was filled with a mix of curiosity and excitement, eager to explore the field of quantum machine learning and see how such cutting-edge technology could be applied to real-world healthcare problems.

My mentor, DBMI faculty Michael Hogarth, MD, helped me to break down the project into manageable tasks, setting realistic goals that paved a path toward progress. The guidance and support I received from him were invaluable in overcoming the many challenges I faced during the project.

Each day brought something new. Some days, I was troubleshooting cryptic model errors; other days, I was trying to wrangle the massive MIMIC-III dataset for model training or brainstorming how to handle the existing limitations of quantum hardware. Yet, I found genuine enjoyment in the problem-solving process. I often lost track of time while tuning hyperparameters or interpreting unexpected outputs. Even when things didn’t go as planned, I felt a sense of excitement and anticipation at the opportunity to work with such advanced tools and see where the next result would lead.

Though the project didn’t result in a breakthrough, the experience was deeply rewarding. I found the process of tinkering with model hyperparameters and analyzing results personally meaningful; it deepened my understanding of quantum computing’s hardware limitations and quantum architecture optimization techniques for future projects.

More broadly, my summer at DBMI fundamentally reshaped how I think about research. I realized that success in research isn't solely measured by breakthrough discoveries. Consistent, incremental wins are equally as important, whether those wins are in the advancement of science itself or a personal deeper understanding of the material, which informs my future work. This constant evolution of knowledge and skill is what makes research so intrinsically fascinating to me.

As I prepare to enter medical school at Northwestern in the fall, I aim to utilize what I’ve learned at DBMI in my future career. Physicians are uniquely positioned to best understand and address the healthcare system’s limitations. I believe my interdisciplinary background in engineering and computer science, coupled with my clinical experiences, will enable me to leverage my unique skill set and pioneer the development of ML tools in clinical practice to improve patient care.

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.

Total publication impact (Pubmed) fiscal year 24-25 is 270

Cohen TN, Anger JT, Barton H, Blumenthal J, Gosman A, Kanji F, Khamisa R, Koola J, Lewis P, Marinkovic M, Marino-Kibbee B, Moore M, Okamuro K, Sidhu S, Trasvina V, Vaida F, Card AJ. The TRANS-SAFE Patient Safety Learning Laboratory: A Protocol for Systems Improvement for Psychosocial Safety in Transgender Care. J Patient Saf. 2025 Jun 25. doi: 10.1097/PTS.0000000000001383. Online ahead of print. PMID: 40557941

Ilfeld BM, Gabriel RA. Paravertebral versus Pectoralis-II Blocks: Reply.Anesthesiology. 2025 Jul 1;143(1):239-240. doi: 10.1097/ALN.0000000000005497. Epub 2025 Jun 10. PMID: 40492818 No abstract available.

Kim SH, Qi Y, Banegas MP, Kappelman MD, Nguyen NH, Boland BS, Hernandez CL, Xu R, Singh S. Prevalence and Impact of Social Risk in Patients with Inflammatory Bowel Diseases: National Estimates from the United States. Clin Gastroenterol Hepatol. 2025 Jun 3:S1542-3565(25)00460-4. doi: 10.1016/j.cgh.2025.03.031. Online ahead of print. PMID: 40473090

Samnani S, Ray CM, Gill P, Stein L, Buhler KA, Leong RW, Smith RL, De Cruz P, Kaplan GG, Seow CH, Lu C, Guizzetti L, Hoentjen F, Marshall JK, Singh S, Panaccione R, Novak KL, Ma C. Diagnostic Accuracy of Non-Invasive Biomarkers and Imaging for Evaluating Postoperative Recurrence in Crohn's Disease. Clin Gastroenterol Hepatol. 2025 Jun 2:S1542-3565(25)00455-0. doi: 10.1016/j.cgh.2025.03.030. Online ahead of print. PMID: 40467019

Ramesh K, Boussina A, Shashikumar SP, Malhotra A, Longhurst CA, Josef CS, Quintero K, Del Rosso J, Nemati S, Wardi G. Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey. Crit Care Explor. 2025 Jun 4;7(6):e1276. doi: 10.1097/CCE.0000000000001276. eCollection 2025 Jun 1. PMID: 40466050 Free PMC article.

 Zander AD, Erbe R, Liu Y, Jin A, Hyun SW, Mukhopadhyay S, Terdich B, Rosasco MG, Patel N, Mahon BM, Sasser AK, Ting-Lin MA, Nimeiri H, Guinney J, Adkins D, Zibelman M, Beauchamp KA, Sangli C, Stein MM, Taxter T, Chan T, Patel SP, Cohen EEW. Development and validation of the Immune Profile Score (IPS), a novel multiomic algorithmic assay for stratifying outcomes in a real-world cohort of patients with advanced solid cancer treated with immune checkpoint inhibitors. J Immunother Cancer. 2025 May 30;13(5):e011363. doi: 10.1136/jitc-2024-011363. PMID: 40447316 Free PMC article.

Hanžel J, Solitano V, Vuyyuru SK, Panaccione R, Sands BE, Peyrin-Biroulet L, Danese S, D'Haens GR, Atreya R, Allez M, Bernstein CN, Bossuyt P, Bressler B, Bryant RV, Cohen BL, Colombel JF, D'Amico F, Dignass A, Dubinsky M, Fleshner P, Gearry RB, Hanauer SB, Hart AL, Kayal M, Kucharzik T, Lakatos PL, Louis E, Magro F, Narula N, Leong RW, Panés J, Raine T, Ran Z, Regueiro MD, Reinisch W, Singh S, Steinhart AH, Travis S, Ungaro RC, Janneke van der Woude C, Yamamoto T, Ahuja V, Rubin DT, Dulai PS, Cornfield LJ, Hogan M, Sandborn WJ, Feagan BG, Jairath V, Ma C. An International Consensus on Appropriate Management of Corticosteroids in Clinical Trials in Inflammatory Bowel Disease. Gastroenterology. 2025 May 28:S0016-5085(25)00825-X. doi: 10.1053/j.gastro.2025.05.015. Online ahead of print. PMID: 40446946

Chekuri A, Johal AS, Allen MR, Ayers JW, Hogarth M, Farcas E. Towards Optimizing LLM Use in Healthcare: Identifying Patient Questions in MyChart Messages. AMIA Annu Symp Proc. 2025 May 22;2024:232-241. eCollection 2024. PMID: 40417557 

Azenkot T, Rivera DR, Stewart MD, Patel SP. Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials. Am Soc Clin Oncol Educ Book. 2025 Jun;45(3):e473590. doi: 10.1200/EDBK-25-473590. Epub 2025 May 22. PMID: 40403202 Review.

Chae YK, Othus M, Patel SP, Aljumaily R, Win KZ, Pejovic T, Thomas SS, Robinson WR 3rd, Kim HS, Chung LI, McLeod CM, Chen HX, Sharon E, Streicher H, Ryan CW, Blanke CD, Kurzrock R. A phase II basket trial of dual anti-CTLA-4 and anti-PD-1 blockade in rare tumors (DART) SWOG S1609: durable responses and delayed pseudoprogression in small cell carcinoma of the ovary, hypercalcemic type cohort. Cancer Commun (Lond). 2025 May 22. doi: 10.1002/cac2.70020. Online ahead of print. PMID: 40402690

Manjanatha D, Pippard N, Bloss CS. Self-compassion as a protective factor against adverse consequences of social media use: A scoping review. PLoS One. 2025 May 21;20(5):e0322227. doi: 10.1371/journal.pone.0322227. eCollection 2025. PMID: 40397849 Free PMC article.

Singh A, Farmer PE, Tully JL, Waterman RS, Gabriel RA. Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume. J Med Syst. 2025 May 21;49(1):67. doi: 10.1007/s10916-025-02201-3. PMID: 40397217 Free PMC article.

Shashikumar SP, Mohammadi S, Krishnamoorthy R, Patel A, Wardi G, Ahn JC, Singh K, Aronoff-Spencer E, Nemati S. Development and prospective implementation of a large language model based system for early sepsis prediction. NPJ Digit Med. 2025 May 17;8(1):290. doi: 10.1038/s41746-025-01689-w. PMID: 40379845 Free PMC article.

Domingo MR, Do DD, Conlin CC, Bagrodia A, Barrett T, Baxter MT, Cooperberg M, Feng F, Hahn ME, Harisinghani M, Hollenberg G, Javier-Desloges J, Kallis K, Kamran S, Kane CJ, Kessler D, Kuperman J, Lee KL, Levine J, Liss MA, Margolis DJ, Matthews I, Murphy PM, Nakrour N, Ohliger M, Ollison C, Osinski T, Pamatmat AJ, Pompa IR, Rakow-Penner R, Roberts JL, Shabaik AS, Song Y, Song D, Tempany CM, Trecarten S, Wehrli N, Weinberg EP, Woolen S, Xu G, Zhong AY, Dale AM, Seibert TM. Restriction Spectrum Imaging as a quantitative biomarker for prostate cancer with reliable positive predictive value. J Urol. 2025 May 16:101097JU0000000000004611. doi: 10.1097/JU.0000000000004611. Online ahead of print. PMID: 40377262

Dennis MJ, Abrahami D, Vieira MC, Benjumea D, Boyd M, Shao A, Kelton J, Patel SP. Real-World Analysis of Disparities in Biomarker Testing and Use of Recommended Targeted Therapies in Metastatic Non-Small Cell Lung Cancer in the United States. JCO Precis Oncol. 2025 May;9:e2400449. doi: 10.1200/PO-24-00449. Epub 2025 May 15. PMID: 40373260

Tully JL, Gabriel RA, Waterman RS, Dameff CJ. Digital Disasters: The Growing Threat of Healthcare Ransomware.  Anesthesiology. 2025 Jun 1;142(6):1005-1008. doi: 10.1097/ALN.0000000000005442. Epub 2025 May 13. PMID: 40358336 Review. 

Zhou YQ, Litake O, Meineke MN, Tully JL, Xu N, Abdou W, Gabriel RA. A Large Language Model Approach to Identifying Preoperative Frailty Among Older Adults From Clinical Notes. J Am Geriatr Soc. 2025 May 15. doi: 10.1111/jgs.19545. Online ahead of print. PMID: 40372061

Dennis MJ, Abrahami D, Vieira MC, Benjumea D, Boyd M, Shao A, Kelton J, Patel SP. Real-World Analysis of Disparities in Biomarker Testing and Use of Recommended Targeted Therapies in Metastatic Non-Small Cell Lung Cancer in the United States. JCO Precis Oncol. 2025 May;9:e2400449. doi: 10.1200/PO-24-00449. Epub 2025 May 15. PMID: 40373260

Wardi G, Longhurst CA. Unreasonable effectiveness of training AI models locally. BMJ Qual Saf. 2025 May 8:bmjqs-2025-018543. doi: 10.1136/bmjqs-2025-018543. Online ahead of print. PMID: 40345681 No abstract available.

Weinreb RN, Lee AY, Baxter SL, Lee RWJ, Leng T, McConnell MV, El-Nimri NW, Rhew DC. Application of Artificial Intelligence to Deliver Healthcare From the Eye. JAMA Ophthalmol. 2025 May 8. doi: 10.1001/jamaophthalmol.2025.0881. Online ahead of print. PMID: 40338607

Ramesh G, Kobayashi E, Sharma N, Majithia AR, Kulasa K, Boeder SC. Accuracy of Factory-Calibrated Continuous Glucose Monitors in Critically Ill Patients Receiving Intravenous Insulin: A Prospective Clinical Trial of Two Leading Systems.  J Diabetes Sci Technol. 2025 May 8:19322968251338865. doi: 10.1177/19322968251338865. Online ahead of print. PMID: 40337990
 

Pekar JE, Lytras S, Ghafari M, Magee AF, Parker E, Wang Y, Ji X, Havens JL, Katzourakis A, Vasylyeva TI, Suchard MA, Hughes AC, Hughes J, Rambaut A, Robertson DL, Dellicour S, Worobey M, Wertheim JO, Lemey P. The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2. Cell. 2025 May 7:S0092-8674(25)00353-8. doi: 10.1016/j.cell.2025.03.035. Online ahead of print. PMID: 40339581

Díaz LA, Alazawi W, Agrawal S, Arab JP, Arrese M, Idalsoaga F, Barreyro FJ, Gadano A, Marciano S, Morales JM, Villela-Nogueira C, Leite N, Couto CA, Theodoro R, Joyner de Sousa Dias Monteiro M, Oliveira CP, Pessoa MG, Alvares-da-Silva MR, Madamba E, Bettencourt R, Richards LM, Majithia AR, Khera AV, Loomba R, Ajmera V. High inherited risk predicts age-associated increases in fibrosis in patients with MASLD.  J Hepatol. 2025 May 5:S0168-8278(25)00294-6. doi: 10.1016/j.jhep.2025.04.035. Online ahead of print. PMID: 40334848

Pagadala MS, Teerlink CC, Jasuja GK, Palnati M, Anglin-Foote T, Chang NN, Deka R, Lee KM, Agiri FY, Amariuta T, Seibert TM, Rose BS, Pridgen KM, Lynch JA, Carter HK, Panizzon MS, Hauger RL. Discovery of novel ancestry specific genes for androgens and hypogonadism in Million Veteran Program Men. Nat Commun. 2025 May 2;16(1):4104. doi: 10.1038/s41467-025-57372-x. PMID: 40316537 Free PMC article.

Mathis MR, Mentz GB, Cao J, Balczewski EA, Janda AM, Likosky DS, Schonberger RB, Hawkins RB, Heung M, Ailawadi G, Ladhania R, Sjoding MW, Kheterpal S, Singh K; MPOG Collaborators. Hospital and Clinician Practice Variation in Cardiac Surgery and Postoperative Acute Kidney Injury. JAMA Netw Open. 2025 May 1;8(5):e258342. doi: 10.1001/jamanetworkopen.2025.8342. PMID: 40314957 Free PMC article.

McCurdy JD, Macdonald B, Rosenfeld G, Bessissow T, Jairath V, Bruining DH, Singh S. Editorial: Seton Use in Perianal Fistulising Crohn's Disease. Authors' Reply.  Aliment Pharmacol Ther. 2025 Apr 27. doi: 10.1111/apt.70170. Online ahead of print. PMID: 40289278 No abstract available. 

Le J, Huynh J, Vo B, Mai A, Mak RH, Momper JD, Capparelli EV, Harvey H, Avedissian S, Bradley E, Sitapati A, Singh K, Bradley JS. Variability in Meropenem Distribution and Clearance in Children with Sepsis: Population-Based Pharmacokinetics with Assessment of Renal Biomarkers. Clin Pharmacokinet. 2025 Apr 24. doi: 10.1007/s40262-025-01495-3. Online ahead of print. PMID: 40272699

Du AL, Macias AA, Burton BN, Gabriel RA. Association of Race, Ethnicity, and Outcomes Following Pediatric Firearm Injury: A United States Population Study. J Intensive Care Med. 2025 Apr 23:8850666251337399. doi: 10.1177/08850666251337399. Online ahead of print. PMID: 40267291

Johnson B, Bath T, Huang X, Lamm M, Earles A, Eddington H, Dornisch AM, Jih LJ, Gupta S, Shah SC, Curtius K. Large language models for extracting histopathologic diagnoses of colorectal cancer and dysplasia from electronic health records.  medRxiv [Preprint]. 2025 Apr 22:2024.11.27.24318083. doi: 10.1101/2024.11.27.24318083. PMID: 40313292 Free PMC article. Preprint.

McCurdy JD, Macdonald B, Rosenfeld G, Bessissow T, Jairath V, Bruining DH, Singh S. Letter: Re-Examining Seton Efficacy in Perianal Crohn's Disease-Critical Considerations for Outcome Measurement and Clinical Interpretation. Authors' Reply. Aliment Pharmacol Ther. 2025 Apr 25. doi: 10.1111/apt.70153. Online ahead of print. PMID: 40276820 No abstract available.

Jung J, Kang S, Choi J, El-Kareh R, Lee H, Kim H. Evaluating the impact of explainable AI on clinicians' decision-making: A study on ICU length of stay prediction. Int J Med Inform. 2025 Apr 21;201:105943. doi: 10.1016/j.ijmedinf.2025.105943. Online ahead of print. PMID: 40318498

Morrison J, Le JP, Malhotra A, Nemati S, Wardi G, Ford JS. A Snapshot of National Institutes of Health Funding for Sepsis Research: 2019-2023. Ann Emerg Med. 2025 Apr 15:S0196-0644(25)00139-8. doi: 10.1016/j.annemergmed.2025.03.011. Online ahead of print. PMID: 40237685 No abstract available.

Umeh UO, Kalsi MS, Tailor M, Zhong H, Mehta S, Jain N, Pai P, Pulos B, Gabriel R, Joseph RS Jr, Lauzadis J, Hargett MJ, Rosenblatt MA. A cross-sectional study of diversity in regional anesthesia and acute pain medicine fellowships. Can J Anaesth. 2025 Apr 12. doi: 10.1007/s12630-025-02947-x. Online ahead of print. PMID: 40216689 English

Hallaj S, Halfpenny W, Radgoudarzi N, Boland MV, Swaminathan SS, Wang SY, Xu BY, Amarasekera DC, Stagg B, Chen A, Hribar M, Thakoor KA, Goetz KE, Myers JS, Lee AY, Christopher MA, Zangwill LM, Weinreb RN, Baxter SL. Gap Analysis of Standard Automated Perimetry Concept Representation in Medical Terminologies. J Glaucoma. 2025 Apr 8. doi: 10.1097/IJG.0000000000002575. Online ahead of print. PMID: 40193233

Melmed GY, Oliver B, Kennedy A, Hou JK, Lum D, Singh S, van Deen WK, Oberai R, Weaver SA, Testaverde J, Siegel CA; IBD Qorus. LONG-TERM SUSTAINED IMPROVEMENT IN UNPLANNED HEALTHCARE UTILIZATION IN PATIENTS WITH INFLAMMATORY BOWEL DISEASE. Am J Gastroenterol. 2025 Apr 7. doi: 10.14309/ajg.0000000000003454. Online ahead of print. PMID: 40192134

Chung S, Saberzadeh-Ardestani B, Nigam G, Yuan Y, Singh S, Shung D. Large Language Model-supported Systematic Reviews to Augment Clinical Guideline Development: An AGA Pilot. Gastroenterology. 2025 Apr 6:S0016-5085(25)00605-5. doi: 10.1053/j.gastro.2025.03.034. Online ahead of print. PMID: 40199387 No abstract available.

Singh S, Nguyen JD, Fudman DI, Gerich ME, Shah SA, Hudesman D, McConnell RA, Lukin DJ, Flynn AD, Hwang C, Sprung B, Gaidos JKJ, Mattar MC, Rubin DT, Hashash JG, Metwally M, Ali T, Ma C, Hoentjen F, Narula N, Bessissow T, Rosenfeld G, McCurdy JD, Ananthakrishnan AN, Cross RK, Rodriguez Gaytan JR, Gurrola ES, Patel S, Siegel CA, Melmed GY, Weaver SA, Power S, Zou G, Jairath V, Hou JK. Treat-to-target of endoscopic remission in patients with inflammatory bowel disease in symptomatic remission on advanced therapies (QUOTIENT): rationale, design and protocol for an open-label, multicentre, pragmatic, randomised controlled trial. BMJ Open Gastroenterol. 2025 Mar 31;12(1):e001615. doi: 10.1136/bmjgast-2024-001615. PMID: 40164445 Free PMC article.

Sawas T, Jones AR, Alsawas R, Talluri R, Rogers H, Bardhi O, Spezia-Lindner D, Gerberi D, Singh S, Murad MH, Shaheen NJ, Katzka DA, Wani S. Overall and Cause-Specific Mortality in Patients with Barrett's Esophagus: A Systematic Review and Meta-Analysis of Population-Based Studies. Am J Gastroenterol. 2025 Mar 31. doi: 10.14309/ajg.0000000000003456. Online ahead of print. PMID: 40162666

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