Individual choices in medicine carry a certain amount of uncertainty.
An innovative partnership at The University of Texas at Austin takes aim at medicine down to the individual level by applying state-of-the-art computation to medical care.
“Medicine in its essence is decision-making under uncertainty, decisions about tests and treatments,” said Radek Bukowski, MD, PhD, professor and associate chair of Investigation and Discovery in the Department of Women’s Health at Dell Medical School at UT Austin.
“The human body and the healthcare system are complex systems made of a vast number of intensely interacting elements,” he said. “In such complex systems, there are many different pathways along which an outcome can occur. Our bodies are robust, but this also makes us very individualized, and the practice of medicine challenging. Everyone is made of different combinations of risk factors and protective characteristics. This is why precision medicine is paramount going forward.”
To that effect, in the January 2021 edition of the American Journal of Obstetrics Gynecology, experts at Dell Med, Oden Institute for Computational and Engineering Sciences (Oden Institute), and Texas Advanced Computing Center (TACC), along with stakeholders across healthcare, industry, and government, stated that the emergence of computational medicine will revolutionize the future of medicine and health care. Craig Cordola of Ascension and Christopher Zarins of HeartFlow co-authored this editorial review with Bukowski and others.
This interdisciplinary group provides a unique combination of resources that are poised to make Texas a leader in providing computational solutions to today’s and tomorrow’s health care issues.
“At UT Austin we’re fortunate to have found ourselves at a very opportune point in time for computational medical research,” Bukowski said. “The Oden Institute has world-class expertise in mathematical modeling, applied math, and computational medicine; TACC is home to the world’s largest supercomputer for open science, and also committed to improving medical care, including outcomes for women and babies.”
Powered by such collaborations, the emerging discipline of computational medicine focuses on developing quantitative approaches to understanding the mechanisms, diagnosis, and treatment of human disease through applications, more commonly found in mathematics, engineering, and computational science. These computational approaches are well-suited to modeling complex systems such as the human body.
AN ON-POINT AREA OF STUDY FOR OBSTETRICS
While computation is pivotal to all domains in medicine, it is especially promising in obstetrics because it concerns at least two patients — mother and baby, who frequently have conflicting interests, making medical decision-making particularly difficult and the stakes exceptionally high.
According to state Rep. Donna Howard, D-Austin, a co-author of the editorial review, Texas legislators should be concerned about the unacceptably high rate of maternal morbidity and mortality in the state.
“When I became aware of the efforts to bring computational medical approaches to addressing maternal morbidity and mortality, I was immediately intrigued,” Howard said. “And when I learned of the interdisciplinary expertise that has found itself conveniently positioned to create this new frontier of medicine, I was sold.”
“At UT Austin we’re fortunate to have found ourselves at a very opportune point in time for computational medical research. The Oden Institute has world-class expertise in mathematical modeling, applied math, and computational medicine; TACC is home to the world’s largest supercomputer for open science, and also committed to improving medical care, including outcomes for women and babies.”
Individualized medicine is happening now because of advancements in computing power and mathematical modeling that can solve the problems which were unsolvable until now.
Case in point: in 2018 the National Science Foundation awarded UT Austin a $1.2 million grant to support research using computational medicine and smartphones to monitor the activity and behavior of 1,000 pregnant women in the Austin area.
In particular, the growing array of data sources including health records, administrative databases, randomized controlled trials, and internet-connected sensors provides a wealth of information at multiple timescales for which to develop sophisticated data-driven models and inform theoretical formulations.
“When combined with analysis platforms via high performance computing, we now have the capability to provide patients and medical providers analysis of outcomes and risk assessment on a per-individual basis to improve the shared decision making process,” Bukowski concluded.
Original Article: COMPUTATIONAL MEDICINE – MOVING FROM UNCERTAINTY TO PRECISION
More from: University of Texas at Austin
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
- Cancer Caught in the Act: Scientists Reveal How One Type of Lung Cancer Can Transform Into Another
Sometimes, lung tumors known as adenocarcinomas develop resistance to treatments that were initially successful, undergoing a transformation into a more aggressive form of cancer called small cell ...
- AI Is Turning Social Media Into the Next Frontier for Suicide Prevention
This note, sent as a private message on Reddit by the artificial-intelligence (AI) company Samurai Labs, represents what some researchers say is a promising tool to fight the suicide epidemic in the U ...
- Research progress reveals faster, more accurate blood flow simulation to advance treatment of vascular diseases
A review has shed light on the advancements in the simulation of blood flow within the intricate vascular system that could transform medical treatment and device innovation for vascular diseases.
- Insilico Medicine aims to reverse aging and cure cancer — all using AI
Insilico Medicine has pioneered AI-driven drug development with the world's first fully AI-built drug entering human clinical trials. But the ambitions of its founder and CEO, Alex Zhavoronkov, go far ...
- Computational Biology News
Computational Modeling Sheds Light on Human ... Diagnosis or Treatment Using Precision Medicine Aug. 18, 2022 — A Rutgers analysis of dozens of artificial intelligence (AI) software programs ...
Go deeper with Google Headlines on:
[google_news title=”” keyword=”computational medicine” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
- Care Beyond Medicine: How Papa Combats Elderly Isolation by Connecting Seniors with ‘Pals’
On this episode of Highway to Health, learn how Papa's innovative approach to combat elderly isolation connects seniors with trusted 'Pals'.
- Personalized Medicine Market Size to Surpass USD 1,233.23 Bn by 2033
The global personalized medicine market size is expected to surpass around USD 1,233.23 billion by 2033, increasing from USD 578.21 billion in 2023, According to .Ottawa, Feb. 22, 2024 (GLOBE NEWSWIRE ...
- New cancer research for personalized care
These findings are expected to streamline the process of matching an immunotherapy treatment to a specific patient since it is very important to identify in advance those patients who will react to a ...
- Spinal Rehab & Sports Medicine Announces Dr. Bob Meyer's 25-Year Anniversary in Sports Medicine
Spinal Rehab & Sports Medicine proudly announces Dr. Bob Meyer, D.C. unparalleled expertise in sports medicine, serving the vibrant community of Austin, TX, for over 25 years. With a legacy built on ...
- Long Read Sequencing Market to Reach $5,142.3 Million by 2030 Owing To Increasing Demand for Personalized Medicine | Says Coherent Market Insights
Burlingame, Feb. 20, 2024 (GLOBE NEWSWIRE) -- Coherent Market Insights published a report, titled, Global Long Read Sequencing Market, By Technology (Single Molecule Real-Time (SMRT) Sequencing, ...
Go deeper with Google Headlines on:
[google_news title=”” keyword=”Individualized medicine” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]