Search Results for “artificial intelligence” – Page 21 – media

New AI system could revolutionize the diagnosis of valvular heart disease

Reviewed by Danielle Ellis AI (artificial intelligence) may sound like a cold robotic system, but Osaka Metropolitan University scientists have shown that it can deliver heartwarming-;or, more to the point, “heart-warning”-;support. They unveiled an innovative use of AI that classifies cardiac functions and pinpoints valvular heart disease with unprecedented accuracy, demonstrating continued progress in merging the fields of medicine and technology to advance patient care. The results will be published in The Lancet Digital Health. Valvular heart disease, one cause of heart failure, is often diagnosed using echocardiography. This technique, however, requires specialized skills, so there is a corresponding shortage of qualified technicians. Meanwhile, chest radiography is one of the most common tests to identify diseases, primarily of the lungs. Even though the heart is also visible in chest radiographs, little was known heretofore about the ability of chest radiographs to detect cardiac function or disease. Chest radiographs, or chest ...
- Source: drugdu
- 93
- July 8, 2023
MHRA reveals new corporate plan to expedite drug regulatory journeys in UK

The UK’s Medicines and Healthcare Products Regulatory Agency (MHRA) has unveiled a new corporate plan that aims to create a faster and more predictable regulatory environment. The plan assigns the agency’s agenda to four key strategic priorities, which are further split into multiple milestones over a three-year span. This includes a focus on public trust, improved access to safe and effective products and the pursuit of new strategic partnerships, based on the 4 July announcement. As part of the corporate plan, the MHRA plans to create faster risk-proportionate regulatory pathways that will support innovation in areas such as artificial intelligence, cell therapy and vaccines, per a document detailing the plan. In the first year, the MHRA aims to launch an improved regulatory management system that will streamline its services and increase the use of self-service. The agency also seeks to optimise service delivery times in priority areas in the second ...
- Source: drugdu
- 113
- July 7, 2023
The first fully A.I.-generated drug enters clinical trials in human patients

The first drug fully generated by artificial intelligence entered clinical trials with human patients this week. Insilico Medicine, a Hong Kong-based biotech startup with more than $400 million in funding, created the drug, INS018_055, as a treatment for idiopathic pulmonary fibrosis, a chronic disease that causes scarring in the lungs. The condition, which has increased in prevalence in recent decades, currently affects about 100,000 people in the U.S. and can lead to death within two to five years if untreated, according to the National Institutes of Health. “It is the first fully generative AI drug to reach human clinical trials, and specifically Phase II trials with patients,” Alex Zhavoronkov, founder and CEO of Insilico Medicine, told CNBC. “While there are other AI-designed drugs in trials, ours is the first drug with both a novel AI-discovered target and a novel AI-generated design.” The discovery process for the new drug began in ...
- Source: drugdu
- 178
- July 3, 2023
Empress Therapeutics emerges with $50m to fund small molecule development

Life sciences venture capital firm Flagship Pioneering has unveiled Empress Therapeutics, a small molecule drug development startup. The Moderna-backed venture fund has launched Empress with a $50m investment. This will support development of its proprietary Chemilogics platform and drug discovery pipeline. So far, Empress claims to have generated 15 drug leads across multiple indications. These span multiple structural classes and target several classes of proteins, including cytokines, enzymes, G protein-coupled receptors (GPCRs), and ion channels. With this pipeline, Empress hopes to address unmet clinical needs in immune and inflammatory conditions, and metabolic, neurologic, oncologic, and pain disorders. The company expects to file multiple IND applications in these areas over the next couple of years. Empress benefits from a wealth of clinical data, and recent advances in genomics, artificial intelligence (AI) and synthetic biology. This allows the company’s platform to read genetic code and use biosynthetic instructions to find, make and ...
- Source: drugdu
- 122
- June 23, 2023
AI voice coach shows promise in psychotherapy for depression and anxiety

With scarce clinical resources unable to keep pace with elevated rates of mental illness, technological solutions could help decrease waitlists and disparities in access to therapy. Recent advances in artificial intelligence have fueled interest in the use of chatbots and virtual assistants for mental health treatment. A new study led by researchers from University of Illinois Chicago, with collaborators at Washington University and Pennsylvania State University, finds that an AI voice assistant app delivering a form of psychotherapy can help patients with mild depression and anxiety. The article, published in Translational Psychiatry, reports changes in brain activity along with improved depression and anxiety symptoms after using the AI voice assistant, called Lumen, for eight sessions of problem-solving therapy. The results of this pilot study, the first to test an AI voice-based virtual coach for behavioral therapy, offer encouraging evidence that virtual therapy can play a role in filling the gaps ...
- Source: drugdu
- 121
- May 19, 2023
Study shows AI chatbot provides quality and empathetic answers to patient questions

A study published in JAMA Internal Medicine indicates that artificial intelligence assistant-generated responses to patients’ questions are better than physicians’ responses regarding quality and empathy. Background Due to social restrictions, virtual healthcare systems have significantly increased during the coronavirus disease 2019 (COVID-19) pandemic. This has led to a 1.6-fold increase in electronic patient messages and a concomitant increase in workload and stress among healthcare professionals. All these factors can collectively give rise to a situation where most patients’ messages will be ignored or answered unsatisfactorily. Current strategies to reduce virtual healthcare burdens include restricting electronic message notifications, billing for responses, or delegating messages to less trained medical staff. However, these strategies limit patients’ access to quality healthcare support. Currently, healthcare systems are considering artificial intelligence (AI) assistants to reduce the workload of healthcare professionals. In the current study, scientists have explored the ability of an AI ...
- Source: drugdu
- 118
- May 16, 2023
Maximizing the Value of AI in Cancer Care

Real-time patient experiences is the missing element to most electronic health records, artificial intelligence, and machine learning models today. Anish Patankar, SVP, GM, Oncology Informatics Software, Elekta Cancer treatment has come a long way in recent years and is now evolving more rapidly through the integration of artificial intelligence (AI) tools, such as machine learning (ML). Currently, health data exists in many forms, including electronic health records (EHR), diagnostic images, genomic and molecular data, pharmacological data, and patient-reported data. The creation of state-of-the-art cancer treatments can be enhanced by the ways clinicians leverage data to optimize care, and there’s no better way to achieve this than through the use of AI. Completing the picture There is a missing element to most EHR, AI, and ML models today – real-time patient-reported outcomes. This type of data refers to information regarding patients’ experiences with their medical conditions, treatments, and healthcare providers, ...
- Source: drugdu
- 151
- May 14, 2023
AI used to build a 3D model of the Commander complex

University of Queensland researchers have used artificial intelligence to build a 3D map of key cell components to better understand dementia and infectious diseases including COVID-19. Professor Brett Collins from UQ’s Institute for Molecular Bioscience and Professor Pete Cullen from the University of Bristol led a team that modeled the 16 subunit Commander complex, a bundle of proteins that act as ‘postal workers’ in cells. Just as the postal system has processes to transport and sort cargo, cells in our bodies have molecular machines that transport and sort proteins. This protein transport system is implicated in many diseases including heart disease, Alzheimer’s disease and infections. “Knowing the 3D shape of these proteins helps us understand how they function, why mutations cause disease, and how to design drugs to target them in the future,” Professor Collins said. “Viruses such as SARS-CoV-2 – which causes COVID-19 – and human papilloma virus ...
- Source: drugdu
- 134
- May 13, 2023
Chatbots are infiltrating healthcare. What now?

Lisette Hilton | Healthcare practices are already using chatbots to help with administrative tasks like scheduling appointments or requests for prescription refills. And while users say the current generative artificial intelligence (AI) technology falls short for safely treating patients, a recent survey of healthcare practices suggests 77% of users predict chatbots will be able to treat patients within the next decade. According to Software Advice’s 2023 Medical Chatbot Survey of 65 healthcare providers or practice owners who use live chatbots on their websites, which was conducted in March 2023, more than three quarters of those surveyed are extremely or somewhat confident in chatbots’ ability to assess patients’ symptoms. Chris R. Alabiad, MD, professor of clinical ophthalmology and ophthalmology residency program director at Bascom Palmer Eye Institute, Miami, FL, has tested the use of ChatGPT (Open AI) in the academic and clinical settings. He piloted the use of ChatGPT at Bascom ...
- Source: drugdu
- 134
- May 11, 2023
AI helps create better, simpler hepatitis and COVID-19 tests

Going beyond pregnancy and COVID-19, the world could someday soon come to rely on at-home tests for many diseases thanks in part to AI-fueled improvements. University of Florida scientists have used artificial intelligence tools to simplify a test that works for both hepatitis C and SARS-CoV-2, the virus that causes COVID-19. The simplified test happens in one small test tube in just a few minutes. With further refinement, it could come to doctor’s offices soon and, one day, even home tests that are as easy as a pregnancy test. “We are trying to build a home-based test that is as reliable as a lab-based test,” said Piyush Jain, a UF professor of chemical engineering who led the latest research. “We are trying to make the test simple, eliminate the need for expensive equipment and provide results in just 10 to 20 minutes.” To accomplish those goals, Jain’s group is innovating ...
- Source: drugdu
- 114
- May 10, 2023

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