Digital transformation in health is not a technology refresh; it is a disciplined redesign of how we discover, deliver, and continuously improve care—with the patient at the center and care teams at the heart. When we unite secure platforms, connect interoperable data, and apply responsible AI, we create a learning ecosystem that translates complexity into clarity. This ecosystem must cut through the “tough stuff” that patients and clinicians face every day: waiting in line, inadequate access to beds, full inboxes, misdiagnosis, difficulty finding the right specialist, and the inability to predict who will urgently need care tomorrow. Our opportunity as an academic community is to set the standard for how digital, clinical, and compassionate practices co‑evolve—producing models that are reproducible locally and scalable nationally.

A cornerstone of this transformation is data that is both liquid and protected. Secure-by-design architectures, privacy-preserving analytics, and modern identity and access management enable sensitive information—such as genomic data, social context, and longitudinal clinical records—to flow appropriately to decision points. With these foundations, we can unlock new insights from genomics to personalize risk assessment, therapy selection, and preventative care. Coupling genomic signals with phenotypic data, imaging, and patient-reported outcomes in a unified analytics fabric allows us to move from population-level averages to nuanced, individualized care—without compromising trust or equity.

Generative AI (GenAI) augments clinical and operational workflows by transforming unstructured data into usable insight. Summarization of clinical notes, ambient documentation, patient-friendly education, and care pathway navigation can relieve cognitive and administrative load—freeing clinicians to focus on high-value human interactions. When grounded in high-quality, institutionally governed data and evaluated for bias, safety, and drift, health AI also becomes a force multiplier for research—accelerating hypothesis generation and protocol design.

To tackle the operational “rocks,” we must integrate predictive analytics and decision support into the daily rhythm of care. Forecasting models can anticipate ED surges, identify the sickest patients early, and inform staffing and bed management. Decision support—embedded at the point of care and aligned to evidence-based care pathways—reduces variation, mitigates diagnostic error, and shortens time-to-treatment. When these tools are transparent, clinician-in-the-loop, and continuously monitored, they build confidence and measurably improve throughput and outcomes.

Patient engagement is the connective tissue that extends an adaptive digital ecosystem outside of brick and mortar. Digital health tools—remote monitoring, secure messaging, symptom checkers, and personalized education—invite patients into shared decision-making and extend care beyond the clinic walls. Public registries and learning networks, ethically designed and governed, create a feedback loop across communities and systems, strengthening public health surveillance and enabling rapid, real-world evidence generation. By aligning clinical care, research, and public health on common data standards and APIs, we can effectively scale interventions that work and decommission those do not.

Our healthcare delivery is an organism—that senses, learns, and responds. If we execute together—clinicians, researchers, patients, and communities—we can jointly architect systems that dynamically evolve to serve health today and inform the national-scale models tomorrow. The promise of digital transformation in health is not technology for its own sake; it is compassionate, reliable, and equitable care that removes the rocks in our shoes and advances improved health outcomes for everyone.

Amy M. Sitapati, MD

Clinical Professor, Division of Biomedical Informatics, Division of General Internal Medicine

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

Interim Chief, Division of Biomedical Informatics, UCSD

Interim Chair, Department of Biomedical Informatics, UCSDH

Pronouns: she/her/hers

On December 5, the Center for Learning Health Systems Science hosted the 2nd annual Learning Health Systems Science (LHSS) Symposium featuring keynote speaker Haider Warraich, MD (ARPA-H), alongside leaders from UC San Diego Health, Family Health Centers of San Diego, and El Centro Regional Medical Center. The event highlighted Learning Health System projects advancing care delivery and showcased how the Center trains embedded scientists to drive healthcare transformation through continuous learning and evidence-based practice. We want to give thanks to all who attended and offer special appreciation to the faculty members and dedicated staff who participated and helped organize the event. We want to give a special shout out to the leadership of Ming Tai-Seal, PhD, MPH and Michael Hogarth, MD, as well as the other DBMI faculty and joint faculty for their participation! 

 On November 5, DBMI faculty, Sally Baxter, MD, MSc, was honored for receiving UCSD’s 2025 Health Sciences Faculty Excellence in Mentoring Award. This award is presented to three faculty members who have demonstrated exceptional commitment to mentoring junior faculty, residents, fellows, postdoctoral scholars, and students in academic medicine and the health sciences. The awards are part of a multi-year initiative by the Health Sciences Faculty Mentor Training Program (FMTP), which seeks to foster mentoring excellence by recognizing both individuals and departments/divisions for their contributions to building a culture of excellence at UC San Diego. Congratulations to Dr. Baxter! 

DBMI joint-appointed faculty, Ming Tai-Seale, PhD, MPH, and DBMI faculty, Chris Longhurst, MD, co-authored a study evaluating whether referral to an EHR-integrated, team-based remote patient monitoring program was associated with reductions in systolic blood pressure among patients with hypertension, including those with co-occurring ischemic heart disease and/or type 2 diabetes. The program was associated with significant reduction in systolic blood pressure among those with multiple chronic conditions by leveraging existing EHR workflows and multidisciplinary support. These findings suggest remote patient monitoring is a promising, scalable approach to improving hypertension care in high-risk populations. We invite you to read the full publication here.

Former DBMI faculty, Matteo D’Antonio, PhD, and co-authors’ article “A highly accurate risk factor–based XGBoost multiethnic model for identifying patients with skin cancer” has been featured in Episode 184 of Base by Base PaperCast: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification. This article highlights a machine learning model that integrates genetic, demographic, lifestyle, and social determinants of health data to improve skin cancer risk identification across diverse populations — supporting more equitable and personalized screening. It was reviewed on the Base by Base podcast, which  explores advances in genetics and genomics. We invite you to listen here.

In our DBMI Person of the Year survey, staff and faculty highlighted some 2025 accomplishments:

Karandeep Singh, MD, MMSc

Named to STATUS List 2025 from STAT News alongside Nobel Prize-winner Demis Hassabis (Google DeepMind) and Senator Elizabeth Warren (Massachusetts – link

Inducted into the American College of Medical Informatics - link 

Mike Fontenot

Became a Certified Louisiana Master Gardener - Louisiana State Univ. - November 2025

Sharon Vizcarra

Pursuing a Health and Wellness Coaching program at UCSD Extended Studies.

DBMI congratulates each of you on these achievements! We thank you for sharing.    

We invite you to help us celebrate our most recent DBMI birthdays! Happy Birthday to the following DBMI’ers!

Maria Triplett - December 31st

Chris Longhurst - January 9th

Jamie Le - January 15th

DBMI Predoc, Wilfredo Gonzalez-Rivera, was awarded UCSD Oceanids Memorial Fellowship and the American Society of Human Genetics (ASHG) Human Genetics Scholar Fellowship. The UCSD Oceanids Memorial Fellowship is one of several competitive graduate fellowships recognizing students who demonstrate academic excellence at UC San Diego. The ASHG Human Genetics Scholar Fellowship is a highly competitive, international award open to late-stage graduate students, postdoctoral fellows, and early-career faculty.

Wilfredo was recognized for his research integrating genetics, genomics, and social science to examine the underlying drivers of health disparities, with a particular focus on admixed populations in genetic studies. In addition, his ASHG conference poster received a Reviewer’s Choice Award, placing it among the top 10% of posters presented. We would like to congratulate Wilfredo on these AMAZING achievements and celebrate the dedication and excellence that made them possible.

DBMI predoc, Wilfredo Gonzalez-Rivera and co-authors published an article using large-scale data from the All of Us Research Program to examine how local ancestry influences complex traits in admixed populations. By applying admixture mapping across more than 230,000 individuals, the researchers identified numerous ancestry-specific genetic associations — particularly linked to African and Native American ancestry—that vary by trait category. The findings highlight the value of diverse, admixed cohorts for uncovering genetic influences on health outcomes that are often missed in studies of more homogeneous populations. We invite you to read more here.

In addition to his publication, Wilfredo shared some Fall highlights. He was the speaker at the ARCS Scholars UCSD Check Presentation! He provided his thanks to ARCS and shared more on his amazing journey to the U.S. and UCSD. He also was invited as a judge for the American Society for Microbiology's Conference of Multidisciplinary Science. This conference focuses on academic excellence and career development for scientists at all stages, from community college and undergraduate students to graduate students, postdocs, and faculty, with a particular focus on historically underrepresented communities in science, technology, engineering, and mathematics. Wilfredo shares gratitude for being a part of it. We’d like to thank him for sharing!

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.

Le JP, Morrison J, Malhotra A, Nemati S, Wardi G, Ford JS. National Institutes of Health-Funded Artificial Intelligence and Machine Learning Research, 2019-2023: Cross-Sectional Study. J Med Internet Res. 2026 Jan 8;28:e84861. doi: 10.2196/84861. PMID: 41505175

Ayyash M, Aviram A, Krenitsky N, Wen T, Berghella V. Artificial Intelligence in Academic Research Publishing: Updates, Controversies, and Considerations for Pregnancy and Perinatal Research.Am J Obstet Gynecol MFM. 2026 Jan 1:101885. doi: 10.1016/j.ajogmf.2025.101885. Online ahead of print. PMID: 41483830    

Nishihara TW, Kalaw FGP, Engmann A, Motoyoshi A, Mensah-Kane P, Gupta D, Patronilo V, Zangwill LM, Hallaj S, Panahi A, Cottrell GW, Voytek B, de Sa VR, Baxter SL. Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp. JMIR Med Educ. 2025 Dec 29;11:e83154. doi: 10.2196/83154.PMID: 41461109 Free PMC article.

Balczewski EA, Mentz G, Singh K, Mathis MR. Feasibility of estimating cardiac indices using cardiac surgery anesthesia records in a multicenter cohort. J Clin Monit Comput. 2025 Dec 24. doi: 10.1007/s10877-025-01400-0. Online ahead of print. PMID: 41442096

Xu NY, Litake O, Tully JL, Meineke MN, Sinha A, Meyer M, Gabriel RA. A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinics. J Clin Monit Comput. 2025 Dec 24. doi: 10.1007/s10877-025-01401-z. Online ahead of print. PMID: 41442095

Bondre I, Soylu HM, Corbetta F, Hill B, Wilson E, Gabriel R, Eskander R, McHale M, Saenz C, Binder P, Plaxe S. Abdominal wall blocks in robotic hysterectomy for endometrial cancer are associated with a modest reduction in the frequency of patients receiving post-operative intravenous opioids. Gynecol Oncol Rep. 2025 Dec 6;63:101995. doi: 10.1016/j.gore.2025.101995. eCollection 2026 Feb. PMID: 41459566 Free PMC article.

Perez S, Mancebo A Jr, Lopez P, Joe L, Benavidez P, Li Z, Sadri M, Spiegel-Pinzon E, Lopez R, Clary B, Longhurst CA, Mekeel K, Singh K. Data and the Art of Surgical Preference Card Maintenance. JAMA Surg. 2025 Nov 26:e255179. doi: 10.1001/jamasurg.2025.5179. Online ahead of print. PMID: 41296367

Blanc-Durand F, Koopman M, Patel SP, Aldea M, Kather JN. Will AI Write the Next "Chapter" in Literature Reviews? Ann Oncol. 2025 Nov 25:S0923-7534(25)06276-3. doi: 10.1016/j.annonc.2025.11.015. Online ahead of print.PMID: 41308983 No abstract available.

Weng Y, Guccione C, McDonald D, Oles R, Devkota S, Kopylova E, Sepich-Poore GD, Salido RA, Din MO, Song SJ, Curtius K, Chu H, Bartko A, Hasty J, Knight R. Calculating fast differential genome coverages among metagenomic sources using micov. Commun Biol. 2025 Nov 20;8(1):1624. doi: 10.1038/s42003-025-09007-6. PMID: 41266796. Free PMC article.

Lu X, Miller M, Pearce AK, Gupta P, Pham TT, Ford J, Malhotra A, Nemati S. Enhancing predictive modeling for respiratory support with LLM-driven guideline adherence. Crit Care. 2025 Nov 14;29(1):491. doi: 10.1186/s13054-025-05739-3. PMID: 41239417. Free PMC article.

Bui QM, McCain J, Allen LA, Adler ED, Anderson C, Bloss C, Rabin BA, Urey MA. Living with Transthyretin amyloid cardiomyopathy from a patient perspective. BMC Cardiovasc Disord. 2025 Nov 12;25(1):802. doi: 10.1186/s12872-025-05282-7. PMID: 41225314

Tangri N, Cheungpasitporn W, Crittenden SD, Fornoni A, Peralta CA, Singh K, Usvyat LA, Waterman AD; American Society of Nephrology (ASN) Artificial Intelligence (AI) Workgroup. Responsible Use of Artificial Intelligence to Improve Kidney Care: A Statement from the American Society of Nephrology. J Am Soc Nephrol. 2025 Nov 7. doi: 10.1681/ASN.0000000929. Online ahead of print. PMID: 41201255

Mehdipour S, Rodriguez L, Gabriel RA. A Multi-Institutional and Nationwide Analysis of the Social Determinants of Persistent Pain After Surgery. Anesth Analg. 2025 Nov 7. doi: 10.1213/ANE.0000000000007807. Online ahead of print. PMID: 41201377

Sette A, Carri I, Marrama D, Frentzen A, Mahita J, Blazeska N, Vita R, Nielsen M, Wan YR, Carter H, Schoenberger S, Peters B, Koşaloğlu-Yalçın Z. A meta-analysis of experimentally validated neo-epitopes: patterns, biases, and opportunities. Cancer Immunol Immunother. 2025 Nov 6;74(12):362. doi: 10.1007/s00262-025-04209-7. PMID: 41196374

Skoulidis F, Borghaei H, Garon EB, Leal TA, Kaufman J, Liu SV, Nadler E, Patel SP, Peters S, Ricciuti B, Gautam A, Emeribe U, Luciani-Silverman L, Heymach JV. Rationale and design for a phase IIIb trial of first-line tremelimumab plus durvalumab versus pembrolizumab, in combination with chemotherapy, in patients with non-squamous metastatic non-small-cell lung cancer and mutations or co-mutations in STK11, KEAP1, or KRAS: the TRITON study Ther Adv Med Oncol. 2025 Nov 6;17:17588359251386611. doi: 10.1177/17588359251386611. eCollection 2025. PMID: 41209621 Free PMC article

Fisher SA, Pavan J, Villa-Tamayo MF, Fabris C, Conboy NE, Niznik C, Yee LM, Moscoso-Vasquez M, Batista AFMB, Kohn MA, Kobayashi E, Majithia AR, Huang J, Tian T, Aaron RE, Klonoff D. Continuous Glucose Monitoring and Maternal and Neonatal Morbidity in Pregnant People With Type 1 Diabetes. J Diabetes Sci Technol. 2025 Nov 4:19322968251388119. doi: 10.1177/19322968251388119. Online ahead of print. PMID: 41186140 Free PMC article.

Cai CX, Nishimura A, Baxter S, Goetz K, Hribar M, Toy B, Barkmeier A, Wang S, Swaminathan S, Flowers A, Brown E, Xu B, Chen J, Chen A, Leng T, Boland M, Alshammari T, Bu F, Falconer T, Martin B, Westlund E, Mathioudakis N, Zhang L, Fan R, Wilcox A, Lai A, Stocking JC, Xie Y, Lee LH, Dorr D, Humes I, McCoy D, Adibuzzaman M, Areaux R Jr, Brash J, Weiskopf N, Morgan-Cooper H, Desai P, Tran D, Rustam Z, Zhu G, Swerdel J, Sena A, Nagy P, Suchard M, Schuemie M, Hripcsak G, Ryan P. Semaglutide and diabetic retinopathy: an OHDSI network study. BMJ Open Diabetes Res Care. 2025 Nov 4;13(6):e005424. doi: 10.1136/bmjdrc-2025-005424. PMID: 41192935 Free PMC article.

Jalili J, Huynh J, Walker E, Chuter BG, Bowd C, Heinke A, Belghith A, Goldbaum MH, Fazio MA, Girkin CA, De Moraes CG, Liebmann JM, Baxter SL, Weinreb RN, Zangwill LM, Christopher M. Performance of General-Purpose Vision Language Models and Ophthalmology Foundation Models in Glaucoma Detection and Function Prediction. Transl Vis Sci Technol. 2025 Nov 3;14(11):31. doi: 10.1167/tvst.14.11.31. PMID: 41258693

Lee HJ, Lee YH, Kim JS, Jeong KH, Lee JY, Yoon HE, Na KR, Lee DR, Yang J, Kim MS, Sitapati AM, Hwang HS. Triglyceride-glucose index and risk of renal function decline and death-censored renal allograft loss in kidney transplant recipients. Kidney Res Clin Pract. 2025 Nov;44(6):974-983. doi: 10.23876/j.krcp.25.095. Epub 2025 Oct 31. PMID: 41224321

Ford JS, Gross BJ, Nemati S, Malhotra A, Wardi G.Operationalizing Sepsis Definitions with Artificial Intelligence: Toward Smarter Antibiotic Use. Clin Infect Dis. 2025 Oct 31:ciaf601. doi: 10.1093/cid/ciaf601. Online ahead of print. PMID: 41169075 No abstract available.

Ahuja D, Yeh KH, Patel SB, Park SK, Xu R, Singh S. Research Communication: Risk of Tuberculosis With Advanced Therapies in 20,705 Patients With Inflammatory Bowel Diseases in Low Incidence Regions-A U.S. Claims-Based Study. Aliment Pharmacol Ther. 2025 Oct 29. doi: 10.1111/apt.70443. Online ahead of print. PMID: 41159450

D'Antonio M, G Gonzalez Rivera W, Greenes RA, Gymrek M, Frazer KA. A highly accurate risk factor-based XGBoost multiethnic model for identifying patients with skin cancer. Nat Commun. 2025 Oct 29;16(1):9542. doi: 10.1038/s41467-025-64556-y. PMID: 41162377 Free PMC article.

Gulamali F, Kim JY, Pejavara K, Thomas C, Mathur V, Eigen Z, Lifson M, Patel M, Shaw K, Tobey D, Valladares A, Vidal D, Augenstein J, Beecy A, Bergkvist S, Burns M, Draugelis M, Ehrenfeld JM, Henwood P, Jagneaux T, Jeffries M, Khuory C, Liao FJ, Liu VX, Longhurst C, Mack D, Maddox TM, McSwain D, Miff S, Miller C, Murray SG, Patterson BW, Payne P, Price Ii WN, Rimal R, Sheppard MJ, Singh K, Sosseh A, Stoll J, Stroum C, Tarabichi Y, Trujillo S, Wiley L, Hasan A, Kpodzro JS, Balu S, Sendak MP. Eliminating the AI digital divide by building local capacity. PLOS Digit Health. 2025 Oct 23;4(10):e0001026. doi: 10.1371/journal.pdig.0001026. eCollection 2025 Oct. PMID: 41129488 Review.

Ahuja D, Dziegielewski C, Yeh KH, Patel SB, Goodwin SW, Ma C, Ananthakrishnan AN, Singh N, Jairath V, Xu R, Singh S. Comparative Safety of Advanced Therapies in Patients with Ulcerative Colitis: An Administrative Claims-based Study. Am J Gastroenterol. 2025 Oct 22. doi: 10.14309/ajg.0000000000003806. Online ahead of print. PMID: 41124702

Ayyash M, Wen T, Purisch S, Andrikopoulou M, Friedman A. Hypertensive Disorders at Delivery and Postpartum Cardiovascular Morbidity: A Retrospective Cohort Study. 2025 Oct 21. doi: 10.1111/1471-0528.70065. Online ahead of print. PMID: 41121451

Patel SP, Othus M, Chae YK, Azenkot T, Wagner MJ, Threlkel S, Farley JH, Magner CM, Chen HX, Sharon E, Ryan CW, Blanke C, Kurzrock R. Multicenter phase II trial of ipilimumab and nivolumab in metastatic or unresectable perivascular epithelioid cell tumor (PEComa): a substudy of Dual Anti-CTLA-4 and Anti-PD-1 blockade in Rare Tumors (DART) SWOG S1609 (Cohort 38). J Immunother Cancer. 2025 Oct 20;13(10):e013147. doi: 10.1136/jitc-2025-013147. PMID: 41120126 Free PMC article. Clinical Trial.

Viglione C, Westermann A, Godino J, Rhee KE, Melendrez B, Tu XM, Boyle DL, Hogarth M, Aarons GA, Crespo NC, Gidwani P, Holguin M, Juarez C, Merino-Gonzalez DB, Osorio L, Ramirez H, Smith M, Terrana A, Firestein GS, Hekler E. Process evaluation and lessons learned from the formation of a multi-sector partnership: the Healing Experiences of Adversity among Latinos (HEALthy4You). Front Health Serv. 2025 Oct 17;5:1607665. doi: 10.3389/frhs.2025.1607665. eCollection 2025. PMID: 41179852 Free PMC article.

Ahuja D, Park SK, Yeh KH, Patel SB, Goodwin SW, Ma C, Singh N, Ananthakrishnan AN, Jairath V, Xu R, Singh S. Overall and Comparative Risk of Shingles With Advanced Therapies in Patients With Inflammatory Bowel Diseases. Aliment Pharmacol Ther. 2025 Oct 15. doi: 10.1111/apt.70418. Online ahead of print. PMID: 41097988

Gai L, Bowles B, Hockenberry AJ, Mineo B, Chin C, Sasser K, Nimeiri H, Beauchamp KA, Ben-Shachar R, Guinney J, Patel SP, Park BH. Molecular characterization of oncogenic gene fusions in a large real-world cohort of solid tumors. Cancer Res Commun. 2025 Oct 15. doi: 10.1158/2767-9764.CRC-25-0329. Online ahead of print. PMID: 41091579

Hong A, Shoji MK, Villatoro GA, Radha-Saseendrakumar B, Baxter SL, Dolman PJ, Kazim M, Harrison AR, Lucarelli MJ, Garrity JA, Selva D, Ediriwickrema LS, Liu CY, Korn BS, Kikkawa DO. Intersurgeon Variability in Proptosis Reduction After Orbital Decompression for Thyroid Eye Disease: A Multicenter Analysis. Ophthalmic Plast Reconstr Surg. 2025 Oct 13. doi: 10.1097/IOP.0000000000003090. Online ahead of print. PMID: 41082925

Angus DC, Khera R, Lieu T, Liu V, Ahmad FS, Anderson B, Bhavani SV, Bindman A, Brennan T, Celi LA, Chen F, Cohen IG, Denniston A, Desai S, Embí P, Faisal A, Ferryman K, Gerhart J, Gross M, Hernandez-Boussard T, Howell M, Johnson K, Lee K, Liu X, Lomis K, London AJ, Longhurst CA, Mandl K, McGlynn E, Mello MM, Munoz F, Ohno-Machado L, Ouyang D, Perlis R, Phillips A, Rhew D, Ross JS, Saria S, Schwamm L, Seymour CW, Shah NH, Shah R, Singh K, Solomon M, Spates K, Spector-Bagdady K, Wang T, Gichoya JW, Weinstein J, Wiens J, Bibbins-Domingo K; JAMA Summit on AI. AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence. 2025 Oct 13. doi: 10.1001/jama.2025.18490. Online ahead of print. PMID: 41082366

Yu CJ, Pessentheiner AR, Liu S, Wax S, Maciej-Hulme ML, Painter CD, Ramms B, Sandoval DR, Quach A, DeForest N, Ducasa GM, Tognaccini C, Labib C, Al-Azzam N, Haumann F, Trieger G, Secrest P, Majithia A, Petrey AC, Godula K, Atkins AR, Downes M, Evans RM, Gordts PLSM. Adipocyte heparan sulfate determines type 2 diabetes susceptibility in mice via FGF1-Mediated glucose regulation. Mol Metab. 2025 Oct 8:102267. doi: 10.1016/j.molmet.2025.102267. Online ahead of print. PMID: 41072794

Ilfeld BM, Finneran JJ, Abdullah B, Vadakkan S, Alkabalan R, Gabriel R. Cryoanalgesia to treat phantom limb pain following a trans-femoral (above-knee) amputation: a randomized, sham-controlled pilot study. Reg Anesth Pain Med. 2025 Oct 1:rapm-2025-107116. doi: 10.1136/rapm-2025-107116. Online ahead of print. PMID: 41033797

Garcia B, Hogarth M, Wang Y, Zhu X, Tu SP.Multi-site research using electronic health record data: Lessons learned from a case study. Learn Health Syst. 2025 Sep 16;9(4):e70039. doi: 10.1002/lrh2.70039. eCollection 2025 Oct. PMID: 41169633 Free PMC article.

Goodson DA, Garcia B, Hogarth M, Tu SP. Artificial intelligence and physician burnout: A productivity paradox. Learn Health Syst. 2025 Apr 23;9(4):e70013. doi: 10.1002/lrh2.70013. eCollection 2025 Oct. PMID: 41169643 Free PMC article.

Ghanbari G, Stevens C, Aronoff-Spencer E, Malhotra A, Nemati S, Yousif Z. Nephrocast-V: A Deep Learning Model for the Prediction of Vancomycin Trough Concentration Using Electronic Health Record Data. 2025 Sep 30. doi: 10.1002/phar.70062. Online ahead of print. PMID: 41025800

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