Scientists have created one of the most detailed maps of breast cancer ever achieved, revealing how genetic changes shape the physical tumour landscape. An international team of scientists, brought together by a £20 million Grand Challenge award from Cancer Research UK, has developed intricate maps of breast tumour samples, with a resolution smaller than a single cell. These maps show how the…
How can the treatment of soft tissue sarcomas, these particularly resistant and aggressive forms of cancer, be improved and better personalized? An international team led by Wolf Hervé Fridman with researchers from Inserm, Sorbonne Université and Université de Paris at the Cordeliers Research Center, in collaboration with the French League against cancer and Institut Bergonié, has shown that…
A team of researchers from the National University of Singapore (NUS) has discovered a new personalised tool to detect cancer, predict patient survivability and how well a cancer patient would respond to immunotherapy. This tool is a specially-designed cancer 'scorecard' to be used with the standard blood test for cancer (also known as liquid biopsy). This 'scorecard', which the team termed as…
A new multicentre study will investigate the link between brain inflammation and psychosis, and use artificial intelligence techniques to identify patients that might benefit most from novel treatments. The study, funded by UKRI Medical Research Council, is led by the Universities of Birmingham and Cambridge. Researchers will examine how and if activated inflammatory cells may act differently in…
An enthralling insight into the care that could be offered to cancer patients of the future was presented by cancer imaging expert Professor Regina Beets-Tan during her a keynote presentation at the recent British Institute of Radiology congress. In the session ‘Oncologic imaging: Future perspectives’, the professor outlined what a Multi-Disciplinary Team (MDT) of the future – a team in…
Researchers say a new method to analyse data from individual human cells could be a step-change for diagnosing some of the most devastating diseases, including cancer and autoimmune disease. By combining single cell analysis techniques with machine learning algorithms, a team led by researchers at the Garvan Institute of Medical Research has developed a method to ‘fingerprint’ human cells.…
Prostate cancer is the second cause of cancer-related death in men. Currently, its diagnosis occurs via imaging and must be confirmed by biopsy. Simona Turco from the Eindhoven University of Technology (TU/e) wants to improve prostate cancer diagnosis by using machine learning algorithms to localize tumors and thereby replace entirely the necessity for biopsies. Besides, by combining this with…
Proteins in our blood could in future help provide a comprehensive ‘liquid health check’, assessing our health and predicting the likelihood that we will we will develop a range of diseases. Preventative medicine programmes such as the UK National Health Service’s Health Check and Healthier You programmes are aimed at improving our health and reducing our risk of developing diseases. While…
Next generation sequencing, big data, microeconomics and more: At the Future of Personalized Medicine (FOPM) Summit for Oncology in Munich, experts from the fields of Pharmaceutical, Biotechnology, Hospitals, and Academics came together to discuss the Future of Medicine. Group Futurista, the organizers of the 2-day networking event, are happy to announce that the summit was a huge success. Their…
Scientists from the Case Western Reserve University digital imaging lab use Artificial Intelligence (AI) to predict which lung-cancer patients will benefit from expensive immunotherapy. This is done by teaching a computer to find previously unseen changes in patterns in CT scans taken when the lung cancer is first diagnosed compared to scans taken after the first 2-3 cycles of immunotherapy…
With the right tools, physicians could transform the lives of patients and scientists. For Kimberly Powell, Vice President of Healthcare at NVIDIA, artificial intelligence is such a tool, and could meet the increasing demand for personalised medicine and next-generation clinics. ‘AI is the biggest technological breakthrough of our lifetime.’
With KardioKompassi, researchers from the University of Helsinki have developed an interactive web tool that aims to predict and prevent cardiovascular disease. The application for patients and doctors uses traditional health information combined with genome information, including 49,000 DNA variations associated with the disease. Using this data, the risk calculator evaluates the risk of cardiac…
The Geneva University Hospitals (HUG) is the first European university hospital to utilize IBM’s artificial intelligence (AI) technology to help uncover therapeutic options for cancer patients. HUG will use the IBM Watson Health’s precision oncology offering, Watson for Genomics, an AI tool that enables oncologists to provide patients with more personalized, evidence-based cancer care. Using…
Uwe Joseph Schoepf, Professor for Radiology, Cardiology and Paediatrics and Director of the Department of Cardiovascular Imaging at the Medical University of South Carolina, discusses areas of application for AI-based radiology. The cardiothoracic imaging expert and his team were largely involved in the development and early clinical trials of the Siemens AI-Rad Companion Chest CT, a software…
Fourteen metabolic biomarkers can predict long term mortality in individuals helping to determine life expectancy in general populations, a new study in the journal Nature Communications reports. In the largest study of its kind, researchers from Leiden University Medical Center in the Netherlands and the University of Surrey investigated predictors of long-term mortality risk. Current predictors…
The key challenges and opportunities surrounding High-Content Screening have been outlined in a presentation to leading scientists and technologists at a major lab conference. Speaking at the recent SLASEurope 2019 event in Barcelona, Professor Matthias Nees from the Institute of Biomedicine in the Department of Biology at the University of Turku, Finland, outlined the potential of High-Content…
Advanced computer models of diseases can be used to improve diagnosis and treatment. The goal is to develop the models to “digital twins” of individual patients. Those twins may help to computationally identify and try the best medication, before actually treating a patient. The models are the result of an international study, published in the open access journal Genome Medicine.
Siemens Healthineers, University of Missouri System (UM System) and University of Missouri Health Care (MU Health Care) launch "Alliance for Precision Health.” The ten-year collaboration will bring the partners’ expertise together to improve health care in Missouri State, promote education and launch research initiatives. Among other things, the clinic receives the only 7 Tesla MRI…
During a European Society of Hybrid, Molecular and Translational Imaging (ESHI) session at ECR 2019, three speakers discussed the role of artificial intelligence (AI) in hybrid imaging. While AI and machine learning is supporting clinicians using hybrid techniques such as PET/CT, MR/PET, or ultrasound and CT, challenges remain in ‘training the machines’ to add value to radiologists’ and…
In view of the advent of personalised medicine and holistic therapy many experts predict the end of healthcare as we know it. However, in many places it is ‘healthcare business as usual’. In our interview, Dr Christoph Zindel, President Diagnostic Imaging at Siemens Healthineers, explains where he sees radiology bridging the gap between symptom-centred treatment today and the systemic…
The team of the Heinz Nixdorf Chair of Biomedical Electronics at the Technical University of Munich focuses on innovative diagnostic tools to accelerate the development towards personalized medicine. Therapies tailored to the individual patient – this is the future not only of oncology but of many medical disciplines. “At this point, however,” concedes Professor Dr Oliver Hayden,…
Today, on the occasion of the international DNA day, imec, a world-leading research and innovation hub in nanoelectronics and digital technologies, and its partners revealed their Genome Analytics Platform (GAP) platform, a unique platform that can perform a full genome analysis of 48 samples in only 48 hours and at an acceptable cost. The platform paves the way to genome sequencing as a daily…
Interpretation of complex profiles of laboratory results can be significantly improved via multivariate pattern recognition software. A multivariate pattern recognition software, developed by a team led by Dr Piero Rinaldo at Mayo Clinic in Rochester, USA, aims to integrate results to diagnose a particular condition in a single score, in an objective evidence-based way that is open to worldwide…
Digital pathology, combined with the power of Artificial Intelligence (AI), is one of the most promising fields for the delivery of precision medicine. In the first keynote address for the 5th Digital Pathology & AI Congress (Europe) held in London last December, Professor of Pathology, Marilyn Bui, focused on how digital pathology is impacting on precision medicine. During her address,…
Scientists could help match cancer patients with no other treatment options to clinical trials with experimental medicines, by analysing the genetic faults in a sample of their blood. The researchers, funded by Cancer Research UK, The Christie Charity, AstraZeneca and the NIHR Manchester Biomedical Research Centre (BRC), demonstrated in their feasibility study that a blood test can be carried out…