Shinjini Kundu | |
|---|---|
 Kundu at EmTech in 2018 |
Shinjini Kundu (born 1990) is an Indian American physician and computer scientist at The Johns Hopkins Hospital in Baltimore, Maryland. Her research focuses on designing artificial intelligence systems to detect diseases that may be imperceptible to humans. She was named one of Forbes 30 under 30, [1] MIT Technology Review's 35 innovators under 35, [2] a World Economic Forum Young Global Leader, [3] and a winner of the Carnegie Science Award. [4]
Before completing high school at 16, [5] Kundu would help her father, a computer engineer, take apart computers. This influenced her studies at Stanford University, where she graduated with a bachelor's and master's degree in electrical engineering, [6] and served as editor in chief of the university's undergraduate research journal. [7] During this time, a class on medical imaging led Kundu into the medical field, where she believed she could use her expertise to diagnose patients faster. [8] Kundu enrolled in the Medical Scientist Training Program conducted by Carnegie Mellon University and the University of Pittsburgh. [6] Prior to her doctoral program, Kundu also trained as an Indian classical dancer and performed at Madison Square Garden. [5]
Kundu's research focuses on "transport-based morphometry," or TBM, which applies machine learning techniques to identify latent disease not readily observable by humans reviewing traditional magnetic resonance imaging (MRIs). [9] [10] Kundu has authored or co-authored eighteen peer-reviewed articles, including in the journals Nature Medicine [11] and Proceedings of the National Academy of Sciences [12] and has presented at the International Conference on Acoustics, Speech, and Signal Processing. [13]
In 2018, Kundu was a speaker at the United Nations A.I. for Good global summit in Geneva, Switzerland, where her input on transparent A.I. in medicine was adopted as a priority area under Sustainable Development Goal 3. [14] [15]
In 2018, Dr. Kundu was listed to Forbes 30 under 30's 2019 list, recognizing her contributions in healthcare. She was also named one of MIT Technology Review's 35 innovators under 35 for her creation of "an artificial-intelligence system that can analyze them [medical images] to find patterns undetectable to the naked eye. Her innovation could have a fundamental impact on the way we detect and treat diseases." [2] Dr. Kundu was also the winner of the 2018 Carnegie Science Award. [16]
In 2017, Dr. Kundu was one of four academics recognized at NRI of the Year, [17] Times Now's annually televised Indian awards show recognizing achievement by those of Indian descent. [18] [19] In 2017, an Elle magazine article remarked, “Not only is she one of the world’s youngest MD-PhD scientists, she has developed technology that could possibly diagnose diseases as early as three years before the symptoms manifest in the patient and she actively works towards the inclusion of more women in STEM (Science Technology Engineering and Math).” [8]
In 2016, Dr. Kundu was recognized in Pittsburgh Magazine's "40 Under 40," which wrote "The lightning speed of Shinjini Kundu’s academic progress could test the laws of physics, much less those of probability." [5]
Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. It can be viewed as branch of engineering and applied science.
Personalized medicine, also referred to as precision medicine, is a medical model that separates people into different groups—with medical decisions, practices, interventions and/or products being tailored to the individual patient based on their predicted response or risk of disease. The terms personalized medicine, precision medicine, stratified medicine and P4 medicine are used interchangeably to describe this concept, though some authors and organizations differentiate between these expressions based on particular nuances. P4 is short for "predictive, preventive, personalized and participatory".
Health technology is defined by the World Health Organization as the "application of organized knowledge and skills in the form of devices, medicines, vaccines, procedures, and systems developed to solve a health problem and improve quality of lives". This includes pharmaceuticals, devices, procedures, and organizational systems used in the healthcare industry, as well as computer-supported information systems. In the United States, these technologies involve standardized physical objects, as well as traditional and designed social means and methods to treat or care for patients.
Yuan Chang is a Taiwanese-born American virologist and pathologist who co-discovered together with her husband, Patrick S. Moore, the Kaposi's sarcoma-associated herpesvirus (KSHV) and Merkel cell polyomavirus, two of the seven known human oncoviruses.
Computer-aided detection (CADe), also called computer-aided diagnosis (CADx), are systems that assist doctors in the interpretation of medical images. Imaging techniques in X-ray, MRI, Endoscopy, and ultrasound diagnostics yield a great deal of information that the radiologist or other medical professional has to analyze and evaluate comprehensively in a short time. CAD systems process digital images or videos for typical appearances and to highlight conspicuous sections, such as possible diseases, in order to offer input to support a decision taken by the professional.
Imaging informatics, also known as radiology informatics or medical imaging informatics, is a subspecialty of biomedical informatics that aims to improve the efficiency, accuracy, usability and reliability of medical imaging services within the healthcare enterprise. It is devoted to the study of how information about and contained within medical images is retrieved, analyzed, enhanced, and exchanged throughout the medical enterprise.
Manuela Maria Veloso is the Head of J.P. Morgan AI Research & Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department. She served as president of Association for the Advancement of Artificial Intelligence (AAAI) until 2014, and the co-founder and a Past President of the RoboCup Federation. She is a fellow of AAAI, Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), and Association for Computing Machinery (ACM). She is an international expert in artificial intelligence and robotics.
Sangeeta N. Bhatia is an American biological engineer and the John J. and Dorothy Wilson Professor at MIT’s Institute for Medical Engineering and Science and Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts, United States. Bhatia's research investigates applications of micro- and nano-technology for tissue repair and regeneration. She applies ideas from computer technology and engineering to the design of miniaturized biomedical tools for the study and treatment of diseases, in particular liver disease, hepatitis, malaria and cancer.
Burton Drayer, MD, FACR, FANN, is an American radiologist and nationally recognized authority on the use of computed tomography and magnetic resonance imaging for diagnosing neurological disorders. From 2003 to 2008, he served as president, The Mount Sinai Hospital. As of 2020, he is the Charles M. and Marilyn Newman Professor and System Chair, Radiology, for The Mount Sinai Health System and Icahn School of Medicine at Mount Sinai Hospital in New York City.
Fei-Fei Li is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to copy human cognition in the analysis, presentation, and understanding of complex medical and health care data, or to exceed human capabilities by providing new ways to diagnose, treat, or prevent disease. Specifically, AI is the ability of computer algorithms to arrive at approximate conclusions based solely on input data.
Regina Barzilay is an Israeli-American computer scientist. She is a professor at the Massachusetts Institute of Technology and a faculty lead for artificial intelligence at the MIT Jameel Clinic. Her research interests are in natural language processing and applications of deep learning to chemistry and oncology.
Anurag Agrawal is an Indian pulmonologist, medical researcher, Dean of the Trivedi School of Biosciences at Ashoka University, and the former director of the Institute of Genomics and Integrative Biology, a CSIR institution. Known for his studies on lung diseases, Agrawal has been a senior fellow of the DBT-Wellcome Trust. The Council of Scientific and Industrial Research, the apex agency of the Government of India for scientific research, awarded him the Shanti Swarup Bhatnagar Prize for Science and Technology, one of the highest Indian science awards for his contributions to Medical Sciences in 2014. He is also a recipient of the National Bioscience Award for Career Development of the Department of Biotechnology which he received in 2015 and the 2020 Sun Pharma Science Foundation award in Medical Sciences.
Suchi Saria is an Associate Professor of Machine Learning and Healthcare at Johns Hopkins University, where she uses big data to improve patient outcomes. She is a World Economic Forum Young Global Leader. From 2022 to 2023, she was an investment partner at AIX Ventures. AIX Ventures is a venture capital fund that invests in artificial intelligence startups.
Georgia "Gina" D. Tourassi is the Director of the Oak Ridge National Laboratory health data sciences institute and adjunct Professor of radiology at Duke University. She works on biomedical informatics, computer-aided diagnosis and artificial intelligence (AI) in health care.
D. Lansing Taylor is the Director at the University of Pittsburgh Drug Discovery Institute (UPDDI), Pennsylvania and a faculty member in the Department of Computational and Systems Biology.
Merative L.P., formerly IBM Watson Health, is an American medical technology company that provides products and services that help clients facilitate medical research, clinical research, real world evidence, and healthcare services, through the use of artificial intelligence, data analytics, cloud computing, and other advanced information technology. Merative is owned by Francisco Partners, an American private equity firm headquartered in San Francisco, California. In 2022, IBM divested and spun-off their Watson Health division into Merative. As of 2023, it remains a standalone company headquartered in Ann Arbor with innovation centers in Hyderabad, Bengaluru, and Chennai.
The Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.
William Wasswa is a Ugandan lecturer, engineer and researcher. He serves as a senior lecturer in the Department of Biomedical Sciences and Engineering at Mbarara University of Science and Technology in Uganda.
Emma Lundberg is a Swedish cell biologist who is a professor at KTH Royal Institute of Technology and Director of Cell Profiling at the Science for Life Laboratory. Her research considers spatial proteomics and cell biology, making use of an antibody-based approach to assess fundamental aspects of human biology. She looks to understand why certain variations in human proteins can cause disease.