Search Results for “artificial intelligence” – Page 9 – media

First-Of-Its-Kind AI-Enabled Smart Microscopy Platform to Accelerate Traditional Pathology Workflows

Pathology and tissue analysis are areas poised for transformative advancements. Drug developers and clinicians currently depend on long-established methods for crucial tasks such as diagnosing diseases, quantifying biomarkers, and predicting therapeutic responses. While there have been attempts to innovate by digitizing specimens and adding multiple markers to a single slide, there are still limitations, including the analysis of less than 1% of tissue samples and the inability to depict complex tissue architectures and cellular interactions that are only visible in three dimensions. 3D imaging technology captures significantly more data than traditional slide-based methods by digitizing whole biopsy specimens rather than just thin slices.Artificial intelligence (AI) and machine learning algorithms play a crucial role in quantifying relevant biomarkers and identifying areas for more detailed pathologist examination. Now, a pioneering 3D spatial biology platform can digitize entire tissue specimens quickly and non-destructively while providing AI-enabled quantitative analysis. This technology enhances the precision ...
- Source: drugdu
- 97
- August 21, 2024
New research reveals AI bowel cancer test can help patients avoid chemotherapy

A study led by researchers at the University of Leeds has revealed that a new artificial intelligence (AI) test to determine the risk of recurring bowel cancers could help patients avoid chemotherapy. The findings published in the Journal of Clinical Oncology Production could help doctors when deciding whether a patient needs chemotherapy following bowel cancer surgery. Found anywhere in the large bowel, bowel cancer is one of the most common cancers in the world, with 1.9 million cases diagnosed in 2020. In the UK alone, bowel cancer is the fourth most common cancer, affecting over 250,000 people. Researchers aimed to establish whether the number of CD3 cells within tumours could be used to predict the risk of a tumour coming back after surgery. In previous studies, bowel and rectal tumours with higher numbers of CD3 immune cells, which attack the cancer and help the body tackle the disease, have been ...
- Source: drugdu
- 64
- August 21, 2024
Study finds AI reduces underdiagnosis of Black patients with common heart failure

A study led by King’s College London (KCL) has revealed that Black patients are less likely to be underdiagnosed with a common type of heart failure when using artificial intelligence (AI), compared to in routine practice. The research, funded by the British Heart Foundation, could help researchers understand the extent of heart failure with preserved ejection fraction (HFpEF) underdiagnosis across ethnicities, as well as reduce bias and improve diagnoses. Heart failure is estimated to affect more than one million people in the UK, 50% of whom have HFpEF, which occurs when the heart pumps out blood normally but cannot fill up as well, leading to signs and symptoms of failure such as breathlessness, fatigue and dizziness. Using an AI algorithm called Natural Language Processing (NLP), which reads and understands medical text and analyses electronic medical records, researchers identified nearly 1,973 patients who met the current European Society of Cardiology guidelines ...
- Source: drugdu
- 79
- August 16, 2024
KCL and UCL scientists develop accurate AI brain imaging model for research

Researchers from King’s College London have developed a new artificial intelligence (AI) brain imaging model in collaboration with University College London (UCL) which is realistic and accurate enough to use in medical research. Published in Nature Medicine Intelligence, the three-dimensional, synthetic images of the human brain could help support research to predict, diagnose and treat brain diseases including dementia, stroke and multiple sclerosis. According to Brain Research UK, there are an estimated 11 million people in the UK who are living with a neurological condition. Among the most common are Alzheimer’s disease, epilepsy and stroke. In collaboration with the London Medical Imaging and AI Centre for Value-Based Healthcare and NVIDIA data scientists and engineers, researchers trained the AI model in weeks as opposed to months using the NVIDIA Cambridge-1 supercomputer. The model is able to produce 3D, high-resolution images that have all the characteristics of real human brains, including correct ...
- Source: drugdu
- 82
- August 13, 2024
BHF’s HIF funds five heart research projects over £800,000

The British Heart Foundation (BHF) has awarded five research projects more than £800,000 as part of its Healthcare Innovation Awards to improve the delivery of vital healthcare for patients. Comprising artificial intelligence (AI) and stethoscopes to offer digital access to mental health services to those living in remote areas, the projects will receive between £100,000 and £300,000 via the Healthcare Innovation Fund (HIF). Cardiovascular diseases (CVD) affect around seven million people in the UK, including coronary heart disease, the most common form of heart and circulatory disease, which affects around 2.3 million people in the UK. The HIF supports research that aims to explore and improve existing services and care for people living with heart conditions across the UK. Researchers from Imperial College London, Hull York Medical School, Leicester University Hospital, Jubilee University National Hospital and the University Hospital of Wales have been selected to receive the funding. The research ...
- Source: drugdu
- 63
- August 8, 2024
New AI Protocol Instantaneously Detects Cancer Genomic Biomarkers Directly from Tumor Biopsy Slides

The late 90s marked the beginning of the era of precision oncology, yet recent studies in the U.S. indicate that most cancer patients are not receiving FDA-approved precision therapies. Factors such as high costs, extensive tissue requirements, and lengthy processing times have hampered the broader adoption of precision oncology, often leading to treatments that are not only suboptimal but potentially harmful. A significant barrier is the lack of testing; many cancer patients endure critical delays waiting for standard genomic tests following an initial tumor diagnosis, which can be life-threatening. Now, a groundbreaking advancement has been made with the development of a new generation of artificial intelligence (AI) tools that enable the rapid and cost-effective detection of clinically actionable genomic alterations directly from tumor biopsy slides. This innovation could cut weeks and save thousands of dollars in clinical oncology treatment workflows for diseases like breast and ovarian cancers. The new AI ...
- Source: drugdu
- 89
- August 7, 2024
University of Hong Kong creates app to detect heart valve diseases by checking chest sounds

The University of Hong Kong has developed a mobile app for members of the public to detect heart valve diseases, with researchers hoping the innovation can help prevent delays in diagnosing and treating such conditions. A clinical study involving more than 350 patients found accuracy levels for the artificial intelligence-based software were as high as 81 per cent, close to those achieved by cardiologists using stethoscopes. Such diseases can occur when heart valves fail to open and close properly, resulting in abnormal blood flow. Symptoms include shortness of breath, dizziness and swollen feet. Professor Joshua Ho Wing-kei of the university’s biomedical sciences school noted on Wednesday that life-threatening heart valve diseases currently affected about 10 per cent of the world’s population above the age of 70. “Valvular heart disease is often hidden and many only seek medical help when their condition has become serious,” he said. “We hope patients can ...
- Source: drugdu
- 77
- August 7, 2024
Jade Bio’s Launch, Brenig’s Debut, Confo’s Cash & More

Recent financing news includes several companies raising money to advance their research to the clinic. Here’s a look back at funding rounds from companies such as Outpace Bio, GRO Biosciences, and Confo Therapeutics. By Frank VinluanOne challenge for developing drugs for autoimmune diseases is that biologic therapies can spark an immune response against them. Immunology and inflammation research is coming up with new approaches to reduce the risk of such responses. That science is progressing in the hands of new companies raising fresh rounds of capital. Inflammation and immunology figures prominently in recent funding news, which includes several companies approaching the clinic with novel biologic drugs. Here’s a recap of recent biotech financings, grouped according to therapeutic area: Immunology & Inflammation —Abiologics unveiled an artificial intelligence-driven platform technology for designing novel biologic drugs based on non-standard amino acids. The startup, which has been incubating within Flagship Pioneering for the past ...
- Source: drugdu
- 94
- August 6, 2024
Rejuvenate and SAS partner to harness AI for age-related diseases

Belgian biotech Rejuvenate Biomed has teamed up with data and AI solutions company SAS to create a tool for researchers to repurpose existing drugs to tackle age-related diseases at their core. The low-code tool aims to simplify the process of analysing biomedical data. It will use SAS’s analytics to reveal hidden biological patterns and interactions, allowing researchers to create detailed reports with SAS visual analytics. The tool will be built on SAS Viya, a cloud-based AI and data platform. According to the companies, the tool is designed to be user-friendly for researchers who don’t have a wealth of coding experience but will also be powerful enough for advanced teams working on complex biological problems. Founded in 2017, Rejuvenate raised €15.7m ($16.9m) in a Series B round led by Zürich-based biotech Rejuveron Life Sciences in 2021. The funds built on a €3.2m ($3.46m) Series A in the same year. The start-up ...
- Source: drugdu
- 88
- August 5, 2024
Cutting-Edge AI Analyzes Blood Samples to Predict Disease 10 Years Before Diagnosis

Scientists have developed an advanced artificial intelligence (AI) approach that can predict the likelihood of developing age-related conditions such as Alzheimer’s and heart disease up to a decade before symptoms manifest. By analyzing blood samples from over 45,000 individuals using machine learning, researchers identified specific protein patterns associated with an increased risk of disease. This capability to predict the probability of developing a health condition before any symptoms are observed could potentially enhance personalized medicine by providing early warnings, thereby opening doors for preventative interventions. Researchers from the University of Edinburgh (Edinburgh, UK) participated in a study that used data from the UK Biobank, which contains genetic and health information from half a million UK participants. They applied AI and machine learning to detect protein patterns in blood that correlate with the onset of common ailments including Alzheimer’s, heart disease, and type 2 diabetes. The analysis was based on medical ...
- Source: drugdu
- 66
- August 3, 2024

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