<br>Earlier on Friday, his doctor Sean Conley said that Trump was being treated with an experimental medications produced by the biotech company, Regeneron, that has not yet been approved by the Food and Drug Administration as a treatment for Covid-19.In a video recorded of him standing up and speaking informally at the White House, Trump said: "I'm going to Walter Reed Hospital. I think I'm doing very well, but we're going to make sure that things work out the first lady is doing very well.""Out of an abundance of caution, and at the recommendation of his physician and medical experts, the President will be working from the presidential offices at Walter Reed (hospital) for the next few days," his Spokesperson Kayleigh McEnany said on Friday evening.Trump's wife, Melania, who also tested positive for the coronavirus is staying on at the White House.Trump, who is a 74-year-old man and overweight at 124 kg, has three high-risk factors for the coronavirus, with which he was diagnosed on Thursday.McEnany said that "President Trump remains in good spirits, has mild symptoms, and has been working throughout the day."Trump appeared fit enough to walk unaided to the helicopter that took him to the Walter Reed medical centre where presidents usually are treated and has facilities for them to continue working.Trump's campaign plans have been cancelled for the coming days, Campaign Senior Adviser Corey Lewandowski told CBS News.Till recently, Democratic Party candidate Joe Biden had been conducting a low-key campaign prompting Trump to ridicule him as "Basement Biden" because he was usingAvdeo facilites set up in the basement to get his message out.But now, Trump will have to campaign from a hospital while Biden is out running carefully arranged public events with coronavirus precautions.At a campaign event in Grand Rapids, Michigan, Biden said he and his wife Jill were offering prayers for Trump and the First Lady.Then he said, "This is not a matter of politics. It's a bracing reminder to all of us that we have to take this virus seriously."While Trump has been dismissive of the Covid-19 precautions like wearing masks and even ridiculed Biden for his big masks, the Democrat has been an advocate of following medical guidance.Exhorting Trump supporters to also wear masks, he said that according to experts wearing masks for 100 days could save 100,000 lives.Biden, who had shared a stage during Tuesday's debate with Trump, said that he had taken two Covid-19 tests that came negative before embarking on Friday's campaign.The Hill quoted two anonymous sources in the Biden campaign as saying that they will not be running negative ads against Trump for now.A Biden ally was quoted by The Hill, a political and legislative media, as saying, "The VP (Vice President Biden) can't say 'God Bless this family' and then trash him in ads."Conley said in a memo released by the White House that as "a precautionary measure he received a single eight gram dose of Regeneron's polyclonal antibody cocktail""He completed the infusion without incident," Conley said about using the experimental medication.Regeneron had reported on Tuesday that its medication had shown positive results in 275 patients during trials.Trump has been advocating the use of medicines not fully approved by the FDA for treating Covid-19.He also received other medicines including aspirin, zinc, a natural hormone melatonin, vitamin D and the antacid famotidine, the doctor said.It did not appear that he received hydroxychloroquine (HCQ), which he had taken as a preventive around the time his valet became infected with the coronavirus in May and got India to send a huge consignment for use as a cure or prophylactic.A senator who said he spoke to Trump indicated that he was "very engaged" in political affairs.Senate Judicial Committee Chairman Lindsey Graham tweeted, "The president was in good spirits this morning when I spoke with him and very engaged in the upcoming hearing regarding Supreme Court nominee, Judge Amy Barrett."That was one of the key issue facing Trump, who has to get the conservative judge to confirmed by the Senate to serve on the supreme court.The other is the Covid-19 relief package for businesses, individuals, public institutions and state and local governments on which the Republicans and Democrats are deeply divided.Pelosi has said that in the changed scenario a compromise seemed within reach. She asked airlines to hold off on threatened furloughs because a deal to help them was likely.The Democratic Party-controlled House of Representatives passed a $2.2 trillion stimulus package, which faces opposition in the Republican-controlled Senate.The markets generally shrugged off Trump's ailment. After having been down by 450 points, the Dow Jones Index closed down only 134 points or 0.5 per cent. S&P was down 1 per cent and the NASDAQ 2.2 per cent, not unusual market volatility.Trump tweeted early Friday morning that he and his wife had tested positive for coronavirus.On Thursday, his Counselor Hope Hicks who had travelled with him on Tuesday and Friday on Air Force One had tested positive for the disease.Members of Trump's family who had undergone tests were found to be uninfected, as also senior officials including Vice President Mike Pence, who is next in line the line of succession.While Democratic Party's top leaders, who had borne the brunt of Trump's ridicule and personal attacks, took the high road with an outpouring of the sympathy, according to a poll taken on Friday by Morning Consult 40 per cent of Democrats were "happy" about Trump's COVID-19 diagnosis, while 55 per cent of Republicans were "sad."The Walter Reed hospital, which has among the best equipment and experts is usually the first stop for military personnel wounded in wars abroad.(Arul Louis can be reached at [email protected] and followed on Twitter at @arulouis)--IANS<br>al/pgh<br>
<br>The White House had politicised coronavirus and now it has come back to bite at a crucial time for the US President's political calculations."This is deadly stuff," Trump had told Washington Post's Bob Woodward, referring to the coronavirus, during a phone call on February 7, 2020. In his new bestseller "Rage", Woodward begins with the details from that stunning conversation where Trump said "it goes through air" while he publicly urged states to "REOPEN!"The coronavirus has killed more than 209,000 people in the US -- the world's richest country with the world's highest caseload.Trump's positive test comes within hours of his close confidante Hope Hicks testing positive. The news of Hicks' diagnosis did not come from a White House statement, rather it was revealed by a media report.The mad scramble for backwards contact tracing has begun at the White House, with infectious diseases experts saying that it's not necessarily a one-way street. It's possible that both Hicks and Trump had exposure to another third party.In the week before of his diagnosis became official, Trump attended at least six events with plenty of people around, exposing at least 21 officials in his immediate circle, including his new Supreme Court nominee Amy Coney Barrett and Vice President Mike Pence.On Monday, September 28, Trump held two events at the Rose Garden. The first one took place on the South Lawn in the presence of a small group of about five people where he inspected a truck produced by an Ohio manufacturer Lordstown Motors.Later on the same day, Trump spoke at the Rose Garden, announcing updates on "millions" of coronavirus test kits being shipped to the states. Vice President Mike Pence was there, so were plenty of Congress lawmakers.On Tuesday, September 29, Trump flew to Cleveland, Ohio, for the first presidential debate against Democratic rival Joe Biden. Hope Hicks, whose positive coronavirus test set off alarm bells later the same week, was on Air Force One. Members of Biden's entourage were masked up while the Trump team were maskless, their signature anthem from the time of the initial outbreak of the disease. Biden and Trump stood more than six feet apart during the debate. Both men did not wear masks.On Wednesday, September 30, there were two events. Trump travelled to Minnesota for a private fundraiser in Minneapolis and an outdoor rally in Duluth. This is the day when confidante Hicks reported feeling unwell and isolated herself aboard Air Force One, a very tight, enclosed space.By late Thursday, October 1, Hicks tested positive for coronavirus. Trump flew to his Bedminster golf course-cum-resort in New Jersey for a private fundraiser, even as fears spiralled in the Trump inner circle. Trump's Press Secretary Kayleigh McEnany, who was in close proximity to Hicks and Trump, continued to brief the media at the White House.At 12:54 am local time on Friday, October 2, Trump tweeted: "Tonight, @FLOTUS and I tested positive for COVID-19. We will begin our quarantine and recovery process immediately. We will get through this TOGETHER!"First Lady Melania Trump tweeted shortly after: "As too many Americans have done this year, @potus & I are quarantining at home after testing positive for Covid-19. We are feeling good and I have postponed all upcoming engagements. Please be sure you are staying safe and we will all get through this together."--IANS<br>nikhila/arm
New York, An Indian-origin researcher in the US has developed an artificial intelligence (AI) algorithm that promises to accurately diagnose Alzheimer's without the need for expensive scans or in-person testing.
The software not only can diagnose Alzheimer's with more than 95 percent accuracy but is also capable of explaining its conclusions, allowing physicians to double-check the accuracy of its diagnosis. "This is a real breakthrough," said the tool's creator KP Subbalakshmi from the Stevens Institute of Technology in the US.
"We're opening an exciting new field of research, and making it far easier to explain to patients why the AI came to the conclusion that it did while diagnosing patients," she added.
By designing an explainable AI engine that uses attention mechanisms and convolutional neural network, the team was able to develop software that could accurately identify well-known telltale signs of Alzheimer's.
The team trained the algorithm using texts produced by both healthy subjects and known Alzheimer's sufferers as they described a drawing of children stealing cookies from a jar.
Using tools developed by Google, Subbalakshmi and her team converted each individual sentence into a unique numerical sequence, or vector, representing a specific point in a 512-dimensional space.
Such an approach allows even complex sentences to be assigned a concrete numerical value, making it easier to analyse structural and thematic relationships between sentences. By using those vectors along with handcrafted features, the AI system gradually learned to spot similarities and differences between sentences spoken by healthy or unhealthy subjects.
"This is absolutely state-of-the-art. Our AI software is the most accurate diagnostic tool currently available while also being explainable," Subbalakshmi said.
The system can also easily incorporate new criteria that may be identified by other research teams in the future, so it will only get more accurate over time. "We designed our system to be both modular and transparent," Subbalakshmi said
"If other researchers identify new markers of Alzheimer's, we can simply plug those into our architecture to generate even better results," she added. The study was presented at the 19th International Workshop on Data Mining in Bioinformatics at BioKDD.
Sydney, June 29 (IANS) Researchers have found that artificial intelligence (AI) improves skin cancer diagnostic accuracy when used in collaboration with human clinical checks.The research team tested for the first time if a 'real world' collaborative approach involving clinicians assisted by AI improved the accuracy of skin cancer clinical decision making."This is important because AI decision support has slowly started to infiltrate healthcare settings, and yet few studies have tested its performance in the real world settings or how clinicians interact with it," said study researcher Monika Janda from the University of Queensland in Australia.For the findings, published in the journal 'Nature Medicine', the researchers trained and tested an artificial convolutional neural network to analyse pigmented skin lesions, and compared the findings to human evaluations on three types of AI-based decision support.The study found that the highest diagnostic accuracy was achieved when crowd wisdom and AI predictions were combined, suggesting human-AI and crowd-AI collaborations were preferable to individual experts or AI alone.Inexperienced evaluators gained the highest benefit from AI decision support and expert evaluators confident in skin cancer diagnosis achieved modest or no benefit, the researchers said.These findings indicated a combined AI-human approach to skin cancer diagnosis may be the most relevant for clinicians in the future.Although AI diagnostic software has demonstrated expert-level accuracy in several image-based medical studies, researchers have remained unclear on whether its use improved clinical practice."Our study found that good quality AI support was useful to clinicians but needed to be simple, and in accordance with a given task," Janda said."For clinicians of the future, this means that AI-based screening and diagnosis might soon be available to support them on a daily basis," Janda added.Implementation of any AI software needs extensive testing to understand the impact it has on clinical decision making, the study noted.--IANSbu/arm
Hyderabad, June 12 (IANS) A new genetic tool could pave the way for better diagnosis and treatment of diabetes among Indians, shows a study conducted by the CSIR-Centre for Cellular & Molecular Biology (CCMB), Hyderabad.A new publication by researchers at the KEM Hospital, Pune, CSIR-CCMB, and the University of Exeter in the UK shows that a genetic risk score is effective in diagnosing type 1 diabetes in Indians.The genetic risk score, developed by the University of Exeter, considers detailed genetic information known to increase the chance of developing type 1 diabetes. The score may be used at the time of diabetes diagnosis to help decide if someone has type 1 diabetes.The authors found nine genetic areas (called the SNPs) that correlate with type 1 diabetes both in Indian and European populations, and can be used to predict the onset of type 1 diabetes in Indians."It's interesting to note that different SNPs are more abundant among Indian and European patients. This opens up the possibility that environmental factors might be interacting with these SNPs to cause the disease," said G.R. Chandak, the Chief Scientist leading the study at the CSIR-CCMB."Since more than 20 per cent of people with type 1 diabetes below the age of 15 years of age are in India, developing a genetic test kit to reliably detect type 1 from type 2 diabetes holds a lot of significance for the country," said Rakesh K. Mishra, Director at CSIR-CCMB.Until recently, it was widely believed that type 1 diabetes appeared in children and adolescents, and type 2 diabetes in obese and older people (typically after 45 years of age).However, recent findings have shown that type 1 diabetes can occur later in life, while type 2 diabetes is on the rise among younger and thinner Indians.Distinguishing the two types of diabetes has become more complex. The two types follow different treatment regime with type 1 diabetes needing lifelong insulin injection but type 2 diabetes are often managed with proper diet or tablet treatment.In a paper published in Scientific Reports, researchers have analysed whether the European risk score is effective in diagnosing type 1 diabetes in Indians.The team studied people with diabetes from Pune. It analysed 262 people with type 1 diabetes, 352 people with type 2 diabetes, and 334 people without diabetes. All were of Indian (Indo-European) ancestry.The outcomes from the Indian populations were compared to those of Europeans from the Wellcome Trust Case Control Consortium study.The research found that the test is effective in diagnosing the right type of diabetes in Indians, even in its current form, which is based on European data.Authors also found genetic differences between the populations which mean the test could be further improved to enhance outcomes for Indian populations."Diagnosing the right diabetes type is an increasingly difficult challenge for clinicians, as we now know that type 1 diabetes can occur at any age. This task is even harder in India, as more cases of type 2 diabetes occur in people with low BMI. We now know that our genetic risk score is an effective tool for Indians, and can help get people on the treatment they need to avoid life threatening complications such as diabetic ketoacidosis and to achieve the best health outcomes," said Richard Oram of the University of Exeter Medical School."We look forward to using this test in diabetic patients from different parts of India where the physical characteristics of diabetic patients differ from the standard description," said Chittaranjan Yajnik of the KEM Hospital & Research Centre.--IANSms/arm
New Delhi, June 9 (IANS) Scientists in India and Japan have developed a highly accurate machine tool to help clinicians choose the most effective treatment strategy for patients with glioma brain tumour.A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98 per cent accuracy, researchers reported in the journal IEEE Access. "Our method outperformed other state-of-the-art approaches for predicting glioma grades from brain MRI scans. This is quite considerable," said study researcher Balasubramanian Raman from the Indian Institute of Technology Roorkee (IIT-R).According to the researchers, gliomas are a common type of brain tumour affecting glial cells, which provide support and insulation for neurons.The treatment varies depending on the tumour's aggressiveness, so it's important to get the diagnosis right for each individual. Radiologists obtain a very large amount of data from MRI scans to reconstruct a 3D image of the scanned tissue. Much of the data available in the MRI scans cannot be detected by the naked eye, such as details related to the tumour shape, texture, or the image's intensity. Artificial intelligence (AI) algorithms help extract this data. Medical oncologists have been using this approach, called radiomics, to improve patient diagnoses, but its accuracy still needs to be enhanced.For the current study, Kyoto University's Institute for Integrated Cell-Material Sciences (iCeMS, Japan) bioengineer Ganesh Pandian Namasivayam collaborated with Indian data scientist Raman to develop a machine learning approach that can classify gliomas into low or high grade with 97.54 per cent accuracy.The choice of patient treatment largely depends on being able to determine glioma's grading. The team, including Rahul Kumar, Ankur Gupta and Harkirat Singh Arora, used a dataset from MRI scans belonging to 210 people with high-grade glioma and another 75 with low-grade glioma. They developed an approach called CGHF, which stands for: A computational decision support system for glioma classification using hybrid radiomics and stationary wavelet-based features. They chose specific algorithms for extracting features from some of the MRI scans and then trained another predictive algorithm to process this data and classify the gliomas. They then tested their model on the rest of the MRI scans to assess its accuracy. The method outperformed other approaches for predicting glioma grades from brain MRI scans. "We hope AI helps develop a semi-automatic or automatic machine predictive software model that can help doctors, radiologists, and other medical practitioners tailor the best approaches for their individual patients," Ganesh said.--IANSbu/arm
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