Computational pathology has increased applications for diagnosis, prediction of prognosis and therapy response, facilitating the movement of healthcare towards personalised medicine. Coupled with deep learning, such tools are ever more efficient and robust within research and clinical settings. The growing role of computational pathology was highlighted by Professor Andrew Janowczyk at the…
BellaSeno GmbH, a company developing absorbable scaffolds using additive manufacturing technologies, announced a collaboration with Charité – Universitätsmedizin Berlin under the recently established SyMBoD consortium. Under the agreement, BellaSeno will design and manufacture personalized, 3D-printed, absorbable implants suitable for the treatment of diabetes patients with bone defects. The…
Liquid biopsy offers a new dimension to detection and stratification of cancer – yet the technique also faces hurdles and challenges in becoming a mainstream diagnostic approach that will help facilitate more personalised treatments. A critical challenge lies in identifying the extremely low concentrations of the bio-analytes of CTC (circulating tumour cells), ctDNA (circulating tumour DNA) and…
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…
