Featured Stories
WSU School of Social Work Awarded $2.1 Million in NIH Funding for Primary Care Research Training
DETROIT, Michigan, Oct. 29 -- Wayne State University issued the following news:
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WSU School of Social Work awarded $2.1 million in NIH funding for primary care research training
October 28, 2026
Bridget E. Weller, Ph.D., professor at the Wayne State University School of Social Work, has received a prestigious Ruth L. Kirschstein National Research Service Award to launch The Wayne State University Primary Care Research Fellowship Program. The five-year, $2.1 million award is funded by the National Institutes of Health (NIH) and administered by the Health Resources and Services Administration
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DETROIT, Michigan, Oct. 29 -- Wayne State University issued the following news:
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WSU School of Social Work awarded $2.1 million in NIH funding for primary care research training
October 28, 2026
Bridget E. Weller, Ph.D., professor at the Wayne State University School of Social Work, has received a prestigious Ruth L. Kirschstein National Research Service Award to launch The Wayne State University Primary Care Research Fellowship Program. The five-year, $2.1 million award is funded by the National Institutes of Health (NIH) and administered by the Health Resources and Services Administration(HRSA).
These awards are highly competitive and usually led by schools of medicine and academic health centers. The Wayne State University School of Social Work is now among the few schools of social work in the country to lead one.
Behavioral health is central to primary care, yet too few researchers are trained to study how to deliver it there. The fellowship prepares researchers from behavioral health professions to close that gap.
"Primary care is where most people first seek help, and we need researchers who can show what works there and for whom," said Dr. Weller, who directs the program.
Over the next five years, the program will train 10 postdoctoral fellows through two-year appointments. Fellows will study how to integrate behavioral health into primary care and how to reach populations with limited access to services in community-based settings. The program aims to help fellows secure research-intensive careers, publish their findings, and compete for their own federal funding.
Fellows will train with a national mentoring team of senior researchers from five institutions:
* Bridget E. Weller, Ph.D., Wayne State University School of Social Work, project director
* Natasha K. Bowen, Ph.D., The Ohio State University
* Angela M. Bowman Heads, Ph.D., McGovern Medical School, UTHealth Houston.
* Ashley M. Butler, Ph.D., Baylor College of Medicine
* Cheryl A. Dickson, M.D., M.P.H., FAAP, Homer Stryker M.D. School of Medicine, Western Michigan University
The program is now recruiting fellows. Applications and more information are available via the Wayne State University Primary Care Research Fellowship Program Homepage, and questions may be directed to pcfellowship@wayne.edu.
This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number T32HP56081, National Research Service Award in Primary Care Medicine, in the amount of $2,078,182, financed 100 percent with federal funds and 0 percent with nongovernmental sources. The contents are those of the author and do not necessarily represent the official views of, nor an endorsement by, HRSA, HHS, or the U.S. Government.
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Original text here: https://socialwork.wayne.edu/news/wsu-school-of-social-work-awarded-21-million-in-nih-funding-for-primary-care-research-training-70441
VCUarts Professor Combines AI and Virtual Reality to Enhance Immigrant Stories
RICHMOND, Virginia, Oct. 29 -- Virginia Commonwealth University issued the following news:
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Oct. 28, 2026
VCUarts professor combines AI and virtual reality to enhance immigrant stories
Semi Ryu's project, SentimentVoice, uses technology to add emotion, depth and visual interpretation to narratives about immigration to the United States.
By Madeline Reinsel
Two people sat on a stage. One read from a script: "The sense of joy and relief upon receiving our green cards was indescribable." The other, wearing a virtual reality headset, responded: "I felt so happy to be able to start a new
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RICHMOND, Virginia, Oct. 29 -- Virginia Commonwealth University issued the following news:
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Oct. 28, 2026
VCUarts professor combines AI and virtual reality to enhance immigrant stories
Semi Ryu's project, SentimentVoice, uses technology to add emotion, depth and visual interpretation to narratives about immigration to the United States.
By Madeline Reinsel
Two people sat on a stage. One read from a script: "The sense of joy and relief upon receiving our green cards was indescribable." The other, wearing a virtual reality headset, responded: "I felt so happy to be able to start a newlife in America."
The performance, during an arts and technology symposium in March at Connecticut College, was a display of SentimentVoice. The project, created by Virginia Commonwealth University School of the Arts professor Semi Ryu, Ph.D., translates personal stories about immigration onto a large screen through machine-learning-powered emotion tracking and virtual reality.
"This project is about amplifying immigrant stories, and using AI as an empathetic tool to create a better chance to understand their emotional space and struggle," said Ryu, a professor in the Department of Kinetic Imaging.
SentimentVoice draws from a subset of machine learning called Emotion AI, which uses artificial intelligence to understand human feelings and mental states. Ryu sees the project, which was developed alongside former VCU College of Engineering associate professor Alberto Cano, Ph.D., as a way to put AI and surveillance tracking to a positive purpose.
"Long before digital systems, institutions monitored, interpreted and shaped people's emotional states in the service of control," she said. "The project asks whether these tools can be directed toward listening, acknowledgement and empathetic encounters."
To prepare for SentimentVoice, Ryu interviewed immigrants in the Richmond area about their experiences moving to the United States, and she compiled those testimonies into a script. The stories take place in one of five settings: airports, schools, workplaces, hospitals and immigration offices.
SentimentVoice takes two forms:
When exhibiting the technology as a live performance, Ryu selects actors or volunteers from the local community to read and experience an immigration-related story constructed from real-life interviews.
During the performance, one actor wears a VR headset, through which they can explore their surroundings in one of the pre-determined settings. The actors take turns reading from the script, and the VR headset detects the emotions exhibited by the wearer's voice and facial movements. AI technology within the program then interprets those emotions into animations on the screen, overlaid on top of the background images.
"The AI is detecting their story, and then it responds," Ryu said. "When they tell a sad story, there is rain, and for lonely stories, snow is coming. For angry stories, fire is flying."
When Ryu displays SentimentVoice in a museum or exhibit space, anyone can experience the technology. First, participants read a short immigrant story. Then, they put on the headset and either retell the story or tell their own related story while AI interprets their emotions on the screen.
"I wanted to create a VR experience in which immigrant narratives could be heard, felt and amplified through responsive environments," Ryu said.
Ryu has exhibited SentimentVoice around the country, as well as at the 2025 SIGGRAPH conference in Vancouver, Canada, and in the main exhibition hall of the Microwave International New Media Arts Festival at Hong Kong City Hall. Soon, her exhibit will travel to Dubai as a part of the International Symposium on Electronic/Emerging Art.
Ryu wants to take SentimentVoice even further. Mainstream AI tools, often developed using Western-centric AI datasets and frameworks, may not capture the nuance of how emotions are expressed or interpreted in other cultures.
"A lot of cultural emotion disappeared during the analysis process," she said. "So we are really investigating cultural specificity."
Now, Ryu is developing a version of SentimentVoice that is attuned to Korean cultural emotional norms. It is called SentimentVoice Han, for which Ryu is collaborating with VCU computer scientists Kostadin Damevski, Ph.D., and Bridget McInnes, Ph.D.
"Han is an extreme state of grief but also hope for overcoming the situation," Ryu said. "It's joy and sadness at the same time."
Ultimately, her goal is to connect people to the experiences of marginalized communities worldwide.
"The world is marked by suffering, and I hope to foster broader conversations about the complexity and diversity of human emotional experiences," Ryu said. "Particularly those that are often overlooked or underrepresented."
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SentimentVoice was developed by Semi Ryu (creative director), Miles Popiela (technical lead, AI and VR), Henry Bryant (AI and VR developer), Ariana Thomas (AI and VR developer), Matthew Labella (3D visual producer, Department of Kinetic Imaging class of 2025), Hanna Chou (video producer, Department of Kinetic Imaging class of 2025), Chrystine Rayburn (sound producer, Department of Kinetic Imaging MFA class of 2024), Ryan Flores (actor, Department of Sculpture MFA class of 2016), Katherine Nguyen (actor, Department of Musical Theatre class of 2026) and videographers Hanna Chou, Kiara Brown (Department of Kinetic Imaging class of 2024), Uday Illa (Department of Kinetic Imaging class of 2024) and Ryan Alvarado (Department of Kinetic Imaging class of 2024). The project was funded by the Commonwealth Cyber Initiative.
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Original text here: https://news.vcu.edu/article/vcuarts-professor-combines-ai-and-virtual-reality-to-enhance-immigrant-stories
University of Nebraska: Chancellor Search Advances - Public Input Sought in November
LINCOLN, Nebraska, Oct. 29 -- The University of Nebraska posted the following news:
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October 28, 2026
Chancellor search advances; public input sought in November
The search for the next University of Nebraska-Lincoln chancellor is moving forward, with an advisory committee formed, a national search firm selected and campus listening sessions planned for November.
David Jackson, executive vice president and provost for the University of Nebraska system, announced the updates in an Oct. 28 message to the university community.
Jackson is chairing the 30-member search advisory committee,
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LINCOLN, Nebraska, Oct. 29 -- The University of Nebraska posted the following news:
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October 28, 2026
Chancellor search advances; public input sought in November
The search for the next University of Nebraska-Lincoln chancellor is moving forward, with an advisory committee formed, a national search firm selected and campus listening sessions planned for November.
David Jackson, executive vice president and provost for the University of Nebraska system, announced the updates in an Oct. 28 message to the university community.
Jackson is chairing the 30-member search advisory committee,which includes representatives from the University of Nebraska-Lincoln, NU system, and university stakeholders. A complete list of committee members is available on the university's search committee website (https://nebraska.edu/unl-chancellor-search/committee).
WittKieffer, a national executive search firm specializing in higher education and health care leadership, has been selected to assist with candidate recruitment and evaluation.
Representatives from the firm will conduct listening sessions Nov. 12-13 to gather input on the university's strengths, opportunities and challenges, as well as the qualities and experience sought in the next chancellor. The feedback will help shape the leadership profile used to advertise the position and recruit candidates.
All sessions are open to the public, though some are designed for specific campus groups. The schedule includes a student session from 4 to 5 p.m. Nov. 12 in Swanson Auditorium at the Nebraska Union.
On Nov. 13, a combined faculty and staff session is scheduled for 11 a.m. to noon in the Prairie Room at Nebraska East Union. Separate faculty and staff sessions will follow from 12:45 to 1:45 p.m. and 2 to 3 p.m., respectively, in the Platte River Room at the Nebraska Union.
Additional details, including virtual attendance information, are available on the university's listening sessions website (https://nebraska.edu/unl-chancellor-search/listening-sessions).
The university expects to release the position description in late December or early January. Additional information about opportunities to participate will be announced as details are finalized.
Katherine S. Ankerson has served as interim chancellor since January.
Dr. Jeffrey P. Gold, president of the NU system, announced the search Sept. 24. The timeline includes plans to review applications and evaluate candidates in early 2027, with interviews scheduled for the spring.
Once a priority candidate is selected, a 30-day vetting period will provide opportunities for the university community and other stakeholders to offer feedback on the potential hire.
Gold anticipates presenting a finalist at the University of Nebraska Board of Regents' June 2027 meeting, with the goal of having the next chancellor in place as soon as possible afterward.
Students, faculty, staff and other stakeholders can recommend candidates by emailing unlchancellor@wittkieffer.com. Questions about the search process may be directed to Jackson at djackson@nebraska.edu.
Additional updates are available on the NU system's chancellor search website (https://nebraska.edu/unl-chancellor-search/).
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Original text here: https://news.unl.edu/article/chancellor-search-advances-public-input-sought-in-november
University of Michigan: Optimizing AI Energy Consumption Throughout Its Entire Lifecycle
ANN ARBOR, Michigan, Oct. 29 -- The University of Michigan issued the following news:
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Optimizing AI energy consumption throughout its entire lifecycle
October 28, 2026
Funded with $1.83M from DARPA, University of Michigan Engineering leads a project that aims to cut AI's energy needs by up to half
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WHAT'S THE STUDY: Data center energy consumption is expected to more than double by 2030 from roughly 420 terawatt-hours in 2024, with much of the anticipated growth driven by AI. But more efficient software design could cut AI energy use by up to half, according to University of Michigan
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ANN ARBOR, Michigan, Oct. 29 -- The University of Michigan issued the following news:
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Optimizing AI energy consumption throughout its entire lifecycle
October 28, 2026
Funded with $1.83M from DARPA, University of Michigan Engineering leads a project that aims to cut AI's energy needs by up to half
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WHAT'S THE STUDY: Data center energy consumption is expected to more than double by 2030 from roughly 420 terawatt-hours in 2024, with much of the anticipated growth driven by AI. But more efficient software design could cut AI energy use by up to half, according to University of MichiganEngineering researchers teaming up with colleagues at the University of Illinois and defense contractor BAE Systems.
Rather than relying on expensive, time-consuming trial-and-error testing across thousands of hardware and software configurations, the team's proposed system will enable developers to estimate energy usage across every stage of an AI workflow--from data processing and model training to real-world deployment. Over the course of the project, the researchers will build high-precision energy measurement tools that combine physical sensors with software analysis, releasing them as open-source documentation and software. The team calls the new mathematical framework underpinning these tools "energy calculus."
WHY IT MATTERS: While computer chips are getting faster, misalignments between software and hardware waste massive amounts of electricity--up to 30% during AI model training alone. More energy-efficient AI brings down electricity demand, reducing the cost of AI and extending battery life for AI-enabled devices. This is especially critical for national defense and military technology, where field equipment and remote computing systems must run complex AI algorithms under strict battery and power limits.
HOW MUCH AND FOR HOW LONG: The $1.83 million contract from the Defense Advanced Research Projects Agency (DARPA) will fund the two-year project, "E-CALC: Energy Calculus for ML Lifecycle Optimization."
The initiative builds on previous efforts by the team lead. For AI model training, the Zeus energy optimization framework automatically tunes settings like batch size and power limits to minimize energy use. Exploring the energy cost of running AI models, the ML.ENERGY benchmark acts as a public leaderboard that measures and compares energy consumption across different open-weight AI models and open-source software frameworks.
WHO'S INVOLVED:
Mosharaf Chowdhury is an associate professor of computer science and engineering at the University of Michigan and principal investigator for E-CALC. He leads ML.ENERGY and Zeus projects.
"AI is becoming part of everyday life, business, science and national security, but it requires enormous and rapidly growing amounts of electricity," Chowdhury said. "If that energy use continues to rise unchecked, it could increase costs, strain power infrastructure, and make advanced AI harder to deploy. This project tackles a practical question: How can we get widespread benefits of AI with minimum energy?"
The two co-principal investigators are Nishil Talati, assistant professor of electrical and computer engineering at the University of Illinois specializing in hardware-software co-design and execution bottleneck characterization, and David Nicholson, principal research engineer at BAE Systems who leads internal research and development on edge AI technologies for defense applications.
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Approved for public release, distribution unlimited. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Defense Advanced Research Projects Agency (DARPA).
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Original text here: https://news.umich.edu/optimizing-ai-energy-consumption-throughout-its-entire-lifecycle/
PNW's College of Technology to Share in $3.19 Million Grant to Support Affordable Housing Project
WESTVILLE, Indiana, Oct. 29 -- Purdue University Northwest issued the following news release:
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PNW's College of Technology to share in $3.19 million grant to support affordable housing project
October 28, 2026
Purdue University Northwest's (PNW) College of Technology will receive a portion of a $3.19 million grant from the U.S. Department of Housing and Urban Development to support the Scalable Construction Automation for Labor-Efficient and Affordable Housing Expansion (SCALE-HOME) project. The initiative places PNW at the forefront of applied research in construction innovation, automation
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WESTVILLE, Indiana, Oct. 29 -- Purdue University Northwest issued the following news release:
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PNW's College of Technology to share in $3.19 million grant to support affordable housing project
October 28, 2026
Purdue University Northwest's (PNW) College of Technology will receive a portion of a $3.19 million grant from the U.S. Department of Housing and Urban Development to support the Scalable Construction Automation for Labor-Efficient and Affordable Housing Expansion (SCALE-HOME) project. The initiative places PNW at the forefront of applied research in construction innovation, automationand housing sustainability.
SCALE-HOME is an industry-driven collaboration that brings together academia, housing developers and regional stakeholders to demonstrate and independently evaluate how robotics and artificial intelligence can help with the shortage of affordable housing. Researchers from PNW's College of Technology will independently evaluate advanced construction automation technologies developed by the Illinois-based company, Lightspeed Build Technologies.
"Our role as independent evaluators is critical to the project," says Afshin Zahraee, department chair of Construction Science and Organizational Leadership and associate professor of Construction Management Engineering Technology (CMET) at PNW. "Our responsibility is to objectively measure effectiveness by evaluating labor savings, cost impacts, schedule performance, quality outcomes, material efficiency and long-term scalability so that conclusions are based on evidence rather than assumptions."
Zahraee will serve as principal investigator and evaluation director, leading the overall evaluation strategy, developing the research framework, overseeing data collection and analysis, ensuring scientific rigor and coordinating all reporting. Suryeon Kim, assistant professor of CMET, will serve as co-principal investigator, leading the evaluation of Lean Construction principles, productivity improvements and artificial intelligence-enabled construction processes.
"One of the most exciting aspects of SCALE-HOME is that it is not a laboratory experiment," says Zahraee. "The technologies will be deployed in active housing developments where homes are being constructed for real families and communities. That makes this true applied research."
The primary goal of the project is to determine whether robotics and artificial intelligence can meaningfully increase the speed, efficiency and affordability of residential construction while maintaining quality and safety standards, minimizing material waste and improving project predictability. Zahraee and Kim hope to generate credible, data-driven evidence on how construction automation can alleviate housing affordability challenges.
Student involvement is an important part of the project. Zahraee anticipates having graduate research assistants and additional student researchers supporting various project activities.
"Students will gain both technical and professional skills," says Zahraee. "They will learn how to conduct applied research, analyze large datasets, evaluate emerging technologies and communicate findings. Just as important, they will gain firsthand experience working on a multidisciplinary team, preparing them for leadership roles in a rapidly evolving industry."
PNW will receive approximately $718,000 in funding to support the three-year project.
"We are excited that PNW can contribute to this effort while providing meaningful learning experiences for our students," says Zahraee.
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Original text here: https://www.pnw.edu/pnws-college-of-technology-to-share-in-3-19-million-grant-to-support-affordable-housing-project/
Five Caltech Faculty Selected by Meta to Help Solve Open Problems in AI
PASADENA, California, Oct. 29 -- The California Institute of Technology issued the following news:
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Five Caltech Faculty Selected by Meta to Help Solve Open Problems in AI
October 28, 2026
Caltech has been selected by Meta as one of five academic partners across the US to receive access to their latest artificial intelligence (AI) models, along with research funding and collaboration opportunities. New research agreements with five faculty members will expand on a strategic partnership between the Institute and Meta to advance breakthroughs across physics, chemistry, biology, computer
... Show Full Article
PASADENA, California, Oct. 29 -- The California Institute of Technology issued the following news:
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Five Caltech Faculty Selected by Meta to Help Solve Open Problems in AI
October 28, 2026
Caltech has been selected by Meta as one of five academic partners across the US to receive access to their latest artificial intelligence (AI) models, along with research funding and collaboration opportunities. New research agreements with five faculty members will expand on a strategic partnership between the Institute and Meta to advance breakthroughs across physics, chemistry, biology, computerscience, and mathematics.
The selected Caltech faculty members will receive research grants for up to three years, plus access to frontier Muse AI models through Meta's first-party application programming interface. Their projects will test "whether AI can move beyond summarizing existing knowledge to help formulate and prove conjectures, predict previously unseen outcomes, construct verifiable artifacts, and generate hypotheses that researchers can test and iterate," according to an announcement by Meta.
Anima Anandkumar, the Bren Professor of Computing and Mathematical Sciences, will address methods to reliably verify code, proofs, and technical specifications generated by AI models without the need for manual inspection. She is developing TorchLean, which allows language model-driven agents to construct, test, and repair formally checkable scientific and machine learning artifacts, such as training datasets and evaluation metrics.
Sarah E. Reisman, the Bren Professor of Chemistry and the Norman Davidson Leadership Chair of the Division of Chemistry and Chemical Engineering, will use unpublished electronic lab notebook records to create a multiproduct reaction benchmark that could help accelerate the capabilities of AI-driven chemistry tools. Because language models are trained on published text, this will provide a test of whether models can predict reaction outcomes on genuinely novel data.
Matt Thomson, professor of computational biology and a Heritage Medical Research Institute Investigator, aims to build an "AI theorist" to help model complex collective behavior exhibited by biological systems. The tool would automatically construct and test predictive partial differential equation-based mathematical models for biological active matter to evaluate whether language models can generate testable theoretical predictions in biological systems.
Nai-Chang Yeh, the Thomas W. Hogan Professor of Physics, will address a problem with language models that involves generating descriptions of physical systems that sound plausible but violate fundamental principles or lack grounding in measurable quantities. She is developing a framework that forces language models to iteratively construct candidate physical representations under explicit constraints to test whether they can actually formulate physical systems.
Tony Yue Yu, professor of mathematics, is building MathDB Frontier, a community-curated database and benchmark built on MathDB, a collaboration between Caltech mathematics faculty, students, and external contributors designed to keep track of the rapid growth of mathematical breakthroughs. MathDB contains more than 86,900 research-level open problems and Yu's new benchmark will evaluate the mathematical capability of large-language models to do genuine reasoning.
Caltech and Meta's decade-long partnership began in 2016 with research collaborations and corporate gifts that supported six faculty members. In 2024, a more formal partnership was established to focus on two main goals: developing a way to make robots "feel" touch, for example, via heat or texture; and opening a new field of organic and inorganic materials discovery. Led by Chiara Daraio, the G. Bradford Jones Professor of Mechanical Engineering and Applied Physics and a Heritage Medical Research Institute Investigator, the partnership offers unrestricted funding to support Caltech's research and educational mission, collaborative research and Meta use of Caltech user facilities, and a small Meta facility on campus within the Beckman Institute.
For the newly funded research, faculty brought research questions to Meta, and the company helped to match them with the right AI tools for their work. "We believe the future is for everyone, which is why we're excited to support university-led research that leverages Meta models and technology to accelerate scientific breakthroughs," Meta's announcement said.
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Original text here: https://www.caltech.edu/about/news/five-caltech-faculty-selected-by-meta-to-help-solve-open-problems-in-ai
Cardiologists Mohammad Fahad Salam, M.D., Lalith Vardhan Namburu, M.D., Join UAMS Health
LITTLE ROCK, Arkansas, Oct. 29 -- The University of Arkansas for Medical Sciences issued the following news release:
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Cardiologists Mohammad Fahad Salam, M.D., Lalith Vardhan Namburu, M.D., Join UAMS Health
By Linda Satter
Oct. 28, 2026 | LITTLE ROCK -- Fellowship-trained noninvasive cardiologists Mohammad Fahad Salam, M.D., and Lalith Vardhan Namburu, M.D., have joined the University of Arkansas for Medical Sciences (UAMS) Department of Internal Medicine's Division of Cardiology.
Salam joins UAMS from the University of Pittsburgh Medical Center in Harrisburg, Pennsylvania, where he completed
... Show Full Article
LITTLE ROCK, Arkansas, Oct. 29 -- The University of Arkansas for Medical Sciences issued the following news release:
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Cardiologists Mohammad Fahad Salam, M.D., Lalith Vardhan Namburu, M.D., Join UAMS Health
By Linda Satter
Oct. 28, 2026 | LITTLE ROCK -- Fellowship-trained noninvasive cardiologists Mohammad Fahad Salam, M.D., and Lalith Vardhan Namburu, M.D., have joined the University of Arkansas for Medical Sciences (UAMS) Department of Internal Medicine's Division of Cardiology.
Salam joins UAMS from the University of Pittsburgh Medical Center in Harrisburg, Pennsylvania, where he completedhis cardiovascular medicine fellowship with a focus on structural imaging.
"Dr. Salam is an extremely skilled cardiologist who will substantially add to our cardiac imaging expertise at UAMS," said Srikanth Vallurupalli, M.D., professor and chief of the Division of Cardiology in the UAMS Department of Internal Medicine.
Namburu joins UAMS from the M.D. Anderson Cancer Center at the University of Texas in Houston, where he completed his cardio-oncology fellowship. He finished his cardiovascular fellowship at East Tennessee State University in Johnson City, Tennessee.
"Dr. Namburu will spearhead our cardio-oncology and preventative cardiology programs," Vallurupalli said. "As cancer survivorship has improved, these patients face unique challenges in maintaining good cardiovascular health over the long term. He will work closely with our cancer team at UAMS to provide comprehensive cardiac care.
"Together," Vallurupalli said, "they add significantly to our clinical mission to improve access to high-quality cardiovascular care for Arkansans and our educational mission to train the next generation of medical professionals."
Salam received his medical degree in 2018 from Aga Khan University in Karachi, Pakistan, and completed his residency in internal medicine at Michigan State University/Sparrow Hospital in Lansing, Michigan.
Namburu received his medical degree in 2017 from Siddhartha Medical College in India and completed his residency in internal medicine at East Tennessee State University.
Both are seeing patients at the UAMS Health Cardiology Clinic. To make an appointment, call 501-686-5111.
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Original text here: https://news.uams.edu/2026/10/28/cardiologists-mohammad-fahad-salam-m-d-lalith-vardhan-namburu-m-d-join-uams-health/
