Dartmouth College established the Center for Precision Health and Artificial Intelligence to better use biomedical data in patient assessment and treatment and improve medical outcomes, and to promote interdisciplinary research that can be deployed more safely and ethically. was established.
The center was launched with $2 million in initial funding from the Geisel College of Medicine and the Dartmouth Cancer Center, and will operate at Williamson College, a Dartmouth-owned building on the Dartmouth-Hitchcock Medical Center campus in Lebanon, New Hampshire. It is based in the Translational Research Building.
“Artificial intelligence will play a transformative role in healthcare by providing rapid and innovative solutions to real-world clinical challenges, improving patient outcomes and creating better and equitable access for all. We are ready,” said Philip J. Hanlon ’77 President.
“This new center will help foster innovation and collaboration in these very important areas.”
Precision Health is a holistic approach aimed at personalizing health care by tailoring treatment and disease prevention strategies to each individual’s unique biology, including genes, medical history, lifestyle and environment. is.
A wealth of biomedical data can be collected through genome sequencing, molecular testing, imaging technology and wearable monitoring devices. All of these have become more sophisticated, affordable and widely available over the past decade.
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This is truly a Dartmouth center with leaders and advisors across the facility that connect clinicians and AI scientists.
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Duane Compton, Geisel Medical Director
AI can unlock valuable insights from this vast amount of data as it can sift through and analyze complex and disparate information to identify trends and patterns and extract digital biomarkers that can guide clinically actionable decision-making. holds the key to extracting
Machine learning models trained on a host of different datasets can predict disease risk, improve diagnostic accuracy, predict disease course, and tailor optimal treatment options for patients.
The CPHAI is governed by the Dean of Geisel University and is advised by a committee composed of representatives and stakeholders from Geisel University, Dartmouth Cancer Center, Thayer School of Engineering, Arts and Sciences, and Dartmouth Health College.
“This is truly a Dartmouth center with leaders and advisors across the facility that bring together clinicians and AI scientists,” says Geisel Dean Duane Compton.
By harnessing the power of AI and machine learning, CPHAI aims to create a digital technology toolbox that enables healthcare providers to identify and deliver the most effective healthcare strategies for each patient. .
The researchers will work on projects such as developing AI-powered diagnostic tools, optimizing treatment strategies, and analyzing biomedical data to inform public health policy.
Created through collaboration with radiologists and pathologists, AI models can derive accurate and complex inferences directly from medical images that complement the knowledge and experience of human imaging experts, increasing diagnostic reliability and efficiency. and reduce potential diagnostic errors.
The center will also enable researchers to evaluate new digital tools they develop in the clinical setting, paving the way for creating and building applications that can be integrated into the healthcare system after FDA approval.
“What makes CPHAI unique is its interdisciplinary and holistic approach to precision medicine and artificial intelligence, which focuses not only on technological advancements but also on ethical and social implications,” said Biomedicine. Said Hassanpur, Associate Professor of Data Science, Epidemiology and Computer Science, said. He is the first Director of the Center.
Saeed Hassanpur stands outside the Williamson Translational Research Building, home to the new center, on the campus of Dartmouth-Hitchcock Medical Center in Lebanon, New Hampshire (Photo by Katie Lenhart) )
The Center is committed to working with the Dartmouth Institute for Ethics, Newcomb Institute for Computational Sciences, Wright Computing Center and the Justice Community to ensure the ethical use of AI and promote diversity and inclusion in the field. says to do. Hassanpur. This effort will help identify the limitations of AI, address issues related to bias in AI algorithms and datasets, improve transparency and privacy, and ensure fair outcomes for all individuals regardless of background. Helpful.
CPHAI will also create new educational and training opportunities, attracting students and professionals interested in pursuing careers in AI and precision medicine, Hassanpur said. These opportunities will help develop a skilled workforce in the Upper Valley region, making it an attractive destination for technology and healthcare companies.
Residents, postdocs and students (both graduate and undergraduate) interested in researching artificial intelligence will also find unique opportunities for learning and research, Compton says.
“We want everyone to be able to reach optimal health, which means that both preventive medicine and care medicine need to work together. Precision health has a wider range of applications than precision medicine.” says Compton.
The new Dartmouth Center has been under construction for several years and comes as the AI market in healthcare is expected to grow significantly from just under $5 billion in 2020 to more than $45 billion in 2026. bottom.
“Many of us at Dartmouth have worked in the field of AI for the past few years. We have the talent, skills, experience and resources to develop and implement innovative AI-powered diagnostic tools. Yes,” said Arief Suriawinata, Chair of Pathology and Laboratory Medicine and a member of the Center’s Advisory Board. “The establishment of CPHAI will foster inter-campus and interdisciplinary collaboration, attract and retain top talent, and secure additional funding for our collaborative efforts.”
The technology developed at CPHAI will help pathologists triage and screen cases, improve diagnostic criteria and quality, and optimize workflow, he says.
Radiology Chair Jocelyn Chertoff, another member of the Advisory Board, also believes the center’s work holds great promise for patients.
“From managing clinical administrative tasks to computer-assisted cancer detection, radiologists are already using AI,” says Chertoff. “Tools based on deep learning algorithms can help radiologists better interpret images, help the process of generating images from scanners be more accurate and efficient, and improve hospital-wide workflows to get patients in the fastest possible time. We promise to transform practice by making it more affordable and affordable.”
The Advisory Board includes Stephen Leach, Director of Dartmouth Cancer Center; Elizabeth F. Smith, Dean of the School of Arts and Sciences; Stephen Bernstein, Director of Dartmouth Health Research; and Michael Whit, Director of Biomedical Data Sciences. Mr. Field and Mr. Charles also serve on the Advisory Board. Thomas Jr. ’79, Director of Radiation Oncology.
Hassanpour expects the center to actively engage with local and global communities in the development and application of AI technologies to ensure that their perspectives, concerns and needs are taken into account. This effort will help build trust and awareness of the benefits and potential risks of AI in healthcare.
“Overall, the presence of CPHAI in our region has the potential to bring significant advances in healthcare, education and economic development, positioning the region as a leader in AI and precision medicine research,” he said. .
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You can also see the FAQ about CPHAI.
