‘AI doctor’ could boost survival in sepsis patients

Agencies
October 23, 2018

London, Oct 23: Scientists have created an artificial intelligence (AI) system that could help treat patients with sepsis by predicting the best treatment strategy. The system developed by researchers from Imperial College London in the UK analysed the records of about 100,000 hospital patients in intensive care units and every single doctor’s decisions affecting them. The findings, published in the journal Nature Medicine, showed the AI system made more reliable treatment decisions than human doctors.

The system, called AI Clinician, could be used alongside medical professionals, to help doctors decide the best treatment strategy for patients, researchers said. Sepsis can cause a drastic drop in blood pressure which can leave organs deprived of blood flow and oxygen, and can ultimately lead to multiple organ failure and death. To raise blood pressure and keep the heart pumping, doctors give extra fluids, usually in the form of a salt solution, as well as medication that tightens blood vessels and raises blood pressure, called vasopressors.

Researchers looked back at US patient records from 130 intensive care units over a 15 year period to explore whether the AI system’s recommendations might have been able to improve patient outcomes, compared with standard care. The researchers now hope to trial the system in intensive care units in the UK. “Sepsis claims six million lives worldwide — so we desperately need new tools at our disposal to help patients,” said Aldo Faisal from Imperial College London.

“Our new AI system was able to analyse a patient’s data –such as blood pressure and heart rate — and decide the best treatment strategy. We found that when the doctor’s treatment decision matched what the AI system recommended, they had a better chance of survival,” Faisal said. To help doctors decide which approach would boost a patient’s chance of survival, the research team created an AI system that would assess a patient’s vital signs and recommend the best treatment approach. The system analysed the medical records of 96,000 US patients with sepsis in intensive care units.

Using a process called reinforcement learning — where robots learn how to make decisions and solve a problem — the AI Clinician went through each patient’s case and worked out the best strategy of keeping a patient alive. The system calculated 48 variables including age, vital signs and pre-existing conditions. It then predicted the best treatment strategy for each patient with sepsis. The results revealed that 98 per cent of the time, the AI system matched or was better than the human doctors’ decision, researchers said.

The study also found that mortality was lowest in patients where the human doctor’s doses of fluids and vasopressor matched the AI system’s suggestion. However, when the doctor’s decision differed from the AI system, a patient had a reduced chance of survival. The team found when the doctor’s decision varied from the AI Clinician’s suggestion, it was on average to administer too much fluid and too little vasopressor but importantly it varied between individual patients.

“The AI Clinician was able to ‘learn’ from far more patients than any doctor could see in a lifetime,” said Anthony Gordon, a professor at Imperial College London. “It has learnt from 100,000 patients and ‘remembered’ them all equally whereas doctors are always susceptible to recall bias, where they particularly remember recent cases or unusual cases,” Gordon said.

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Agencies
June 21,2020

Lower neighbourhood socioeconomic status and greater household crowding increase the risk of becoming infected with SARS-CoV-2, the virus that causes COVID-19, warn researchers.

"Our study shows that neighbourhood socioeconomic status and household crowding are strongly associated with risk of infection," said study lead author Alexander Melamed from Columbia University in the US.

"This may explain why Black and Hispanic people living in these neighbourhoods are disproportionately at risk for contracting the virus," Melamed added.

For the findings, published in the journal JAMA, the researchers examined the relationships between COVID-19 infection and neighbourhood characteristics in 396 women who gave birth during the peak of the Covid-19 outbreak in New York City. Since March 22, all women admitted to the hospitals for delivery have been tested for the virus, which gave the researchers the opportunity to detect all infections -- including infections with no symptoms -- in a defined population

The strongest predictor of COVID-19 infection among these women was residence in a neighbourhood where households with many people are common.The findings showed that women who lived in a neighbourhood with high household membership were three times more likely to be infected with the virus. Neighbourhood poverty also appeared to be a factor, the researchers said.Women were twice as likely to get COVID-19 if they lived in neighbourhoods with a high poverty rate, although that relationship was not statistically significant due to the small sample size.

The study revealed that there was no association between infection and population density.

"New York City has the highest population density of any city in the US, but our study found that the risks are related more to density in people's domestic environments rather than density in the city or within neighbourhoods," says co-author Cynthia Gyamfi-Bannerman."

The knowledge that SARS-CoV-2 infection rates are higher in disadvantaged neighbourhoods and among people who live in crowded households could help public health officials target preventive measures," the authors wrote.

Recently, another study published in the Journal of the American Planning Association, showed that dense areas were associated with lower COVID-19 death rates.

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News Network
July 9,2020

Washington, Jul 9: Ayurvedic practitioners and researchers in India and the US are planning to initiate joint clinical trials for Ayurveda formulations against the novel coronavirus, the Indian envoy here has said.

In a virtual interaction with a group of eminent Indian-American scientists, academicians, and doctors on Wednesday, Indian Ambassador to the US Taranjit Singh Sandhu said the vast network of institutional engagements have brought scientific communities between the two countries together in the fight against Covid-19.

 “Our Institutions have also been collaborating to promote Ayurveda through joint research, teaching and training programs. Ayurvedic practitioners and researchers in both the countries are planning to initiate joint clinical trials of Ayurvedic formulations against Covid-19,” Sandhu said.

“Our scientists have been exchanging knowledge and research resources on this front,” he said.

The Indo-US Science Technology Forum (IUSSTF) has always been instrumental in promoting excellence in science, technology, and innovation through collaborative activities.

To address Covid-19-related challenges, the IUSSTF had given a call to support joint research and start-up engagements. A large number of proposals are being reviewed on fast track mode by the experts on both the sides, he said.

“Indian pharmaceutical companies are global leaders in producing affordable low-cost medicines and vaccines and will play an important role in the fight against this pandemic,” Sandhu said.

According to the ambassador, there are at least three ongoing collaborations between Indian vaccine companies with US-based institutions.

These collaborations would be beneficial not just to India and the US, but also for the billions who would need to be vaccinated against Covid-19 across the world, he noted.

Asserting that innovation will be the key driver in pandemic response and recovery, he said tech-companies and start-ups have already begun to take the lead in this direction.

"Telemedicine and telehealth will evolve as will other digital platforms across sectors," he said.

Noting that there has been a longstanding collaboration between India and the US in the health sector, he said scientists have been working together in several programs to understand important diseases at the basic and clinical level.

Many such programs have been focused on translational research to develop new therapeutics and diagnostics.

There are over 200 ongoing NIH funded projects in India involving 20 institutions from NIH network and several eminent institutions in India engaged in a wide spectrum of research areas to create health care solutions, the senior diplomat said.

The collaboration under Vaccine Action Program (VAP) resulted in the development of ROTAVAC vaccine against rotavirus which causes severe diarrhea in children.

The vaccine was developed by an Indian company (Bharat Biotech) at an affordable cost. It has been commercialised and introduced in the Expanded Program on Immunisation.

Development of many other vaccines such as TB, Influenza, Chikungunya are also in progress under the VAP, he said.

 “As I speak, the VAP meeting is in progress where experts from both countries are deeply engaged in technical discussions to expedite development of Covid-19 vaccine,” Sandhu said in his remarks.

During the interaction, the eminent experts appreciated India's handling of the Covid-19 pandemic and offered their valuable suggestions and best practices in this regard.

They shared their ideas on deepening the knowledge partnership between India and the US.

The experts who took part in the interaction, were drawn from wide-ranging fields including artificial intelligence, quantum information science, biomedical engineering, robotics, mechanical engineering, earth and ocean science, virology, physics, astrophysics, and health sciences.

Prominent among those who attended the virtual interaction were Subhash Kak Regents Professor at Oklahoma State University, Dr Vijay Kuchroo, Samuel L Wasserstrom Professor of Neurology at Harvard Medical School, Dr Ashish M Kamat, Professor of Urology at MD Anderson Cancer Center, Ashutosh Chilkoti, Alan L Kaganov Professor of Biomedical Engineering and Chair of the Department of Biomedical Engineering at Duke University; and Prof Manu Prakash, a professor in Department of Bioengineering at Sandford University, among others.

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News Network
February 4,2020

Boston, Feb 4: Practising yoga may increase levels of a messenger molecule involved in regulating brain activity, and completing one yoga class per week may maintain elevated levels of this chemical, according to a study which may lead to better ways of mitigating depressive symptoms.

The study, published in the Journal of Alternative and Complementary Medicine, assessed a group of 30 clinically depressed patients who were randomly divided into two groups.

According to the researchers, including those from Boston University in the US, both groups engaged in coherent breathing, and Iyengar yoga -- a form of hatha yoga, developed by B. K. S. Iyengar, emphasising on detail, precision, and alignment in the performance of yoga postures.

The only difference between the groups, the scientists said, was the number of 90 minute yoga sessions, and home sessions in which each group participated.

Over three months, they said, the high-dose group (HDG) was assigned three sessions per week, while the low-intensity group (LIG) engaged in two sessions per week.

The participants underwent magnetic resonance imaging (MRI) scans of their brain before the first and after the last yoga session, and also completed a clinical depression scale to monitor their symptoms, the study noted.

Results of the study revealed that both groups had improvement in depressive symptoms after three months.

Their MRI analysis showed that levels of the brain messenger molecule GABA were elevated after three months of yoga, as compared to the levels before starting yoga.

According to the study, this increase was found for approximately four days after the last yoga session, but the rise was no longer observed after about eight days.

"The study suggests that the associated increase in GABA levels after a yoga session are 'time-limited' similar to that of pharmacologic treatments such that completing one session of yoga per week may maintain elevated levels of GABA," explained study co-author Chris Streeter from Boston University.

Providing evidence-based data may help in getting more individuals to try yoga as a strategy for improving their health and well-being, the scientists said.

"A unique strength of this study is that pairing the yoga intervention with brain imaging provides important neurobiological insight as to the 'how' yoga may help to alleviate depression and anxiety," said study co-author Marisa Silveri from Harvard University.

In this study, we found that an important neurochemical, GABA, which is related to mood, anxiety, and sleep, is significantly increased in association with a yoga intervention," Silveri said.

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