To avoid adverse reactions, personalised laboratory medicine can help to predict a patient’s drug response. Investigations based on DNA and other omics technologies – e.g. genomics, transcriptomics, proteomics, metabolomics – along with microarray technologies, is making a particularly valuable contribution to cancer care, in which personalised approaches are becoming possible through…
A new study from the University of Helsinki shows that cells that are freshly isolated from lung cancers can be used to create robust drug response data. This approach can identify actionable or non-responsive treatments, illustrated by a case study in which the assay was used to guide the compassionate treatment of a patient.
Cancer patients’ medical records can often comprise up to 100 terabytes of individual — and usually very heterogeneous — data, including blood and tumor values, personal indicators, sequencing and treatment data, and much more besides. Up to now, it has been virtually impossible to use this wealth of information efficiently due to a lack of appropriate processing mechanisms. As a result,…
El laboratorio de Genómica Biomédica del IRB Barcelona (Institute for Research in Biomedicine) ha desarrollado un método computacional que identifica las mutaciones causantes del cáncer para cada tipo de tumor.
The Biomedical Genomics laboratory at the Institute for Research in Biomedicine (IRB) Barcelona has developed a computational tool that identifies cancer driver mutations for each tumour type. This and other developments produced by the same lab seek to accelerate cancer research and provide tools to help oncologists choose the best treatment for each patient. The study has been published in the…
The Netherlands Cancer Institute, University of Amsterdam (UvA), and Elekta will collaborate on the development of new AI strategies for the further improvement of precision radiotherapy. This concerns the personalization of treatment by improving the quality of imaging used during treatment, predicting and accounting for changes in the patient’s anatomy over time, and automatically adapting…
Integrating laboratory functions on a microchip circuit is helping improve the cost-effectiveness of drug development. So-called ‘lab-on-a-chip’ or ‘human-on-a-chip’ technology can highlight which treatments may, or may not, work before advancing along the clinical trial process. It can also have benefits for chronic and rare diseases, as well as helping shape personalised medicine.…
Intrahepatic cholangiocarcinoma (ICC) develops within the liver. With one to two cases per 100,000 inhabitants in Germany, ICC is one of the rare diseases overall, but it is the second most common liver cancer. The aggressive bile duct tumour remains clinically inconspicuous for a long time, so that it is often only detected late. Because the tumour also only responds to chemotherapy to a limited…
Women with incident and proliferative benign breast diseases (BBD) are likelier to develop breast cancer, a Spanish researcher explained during the 12th European Breast Cancer Conference in October. These findings support the idea of designing personalised breast cancer screening strategies to improve effectiveness.
As people get older they often jump from disease to disease and carry the burden of more chronic diseases at once. But is there a system in the way diseases follow each other? Danish researchers have for the past six years developed a comprehensive tool, the Danish Disease Trajectory Browser, that utilizes 25 years of public health data from Danish patients to explore what they call the main…
Siri and Alexa are leading the way: the virtual assistants meet many daily needs. Soon, similarly programmed software and a ‘digital patient twin’, will be launched into the medical world – both IT applications based on Artificial Intelligence (AI). The virtual medical assistant and digital patient twin are two key aspects of a research project ‘Models for Personalised Medicine’.…
Engineers in the US have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat. This wearable technology could be incorporated into a more personalized approach to medicine — where an ideal drug and dosages can be tailored to an individual. The engineers at the University of California, Los Angeles (UCLA)…
In recent years, technological and regulatory advances have made digital pathology a viable alternative to the conventional microscope. The obtention of a digital replica of the traditional glass slide and its use for primary diagnosis has revolutionized pathology and is shaping the future of the discipline. A digital pathology lab uses digital histology slides for routine diagnosis, and these…
A new joint report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) presents the largest venture ever on precision medicine in diabetes. The report includes a detailed overview and roadmap for how this new approach to diabetes medicine can be evaluated and implemented into clinical practice.
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 in becoming a mainstream diagnostic approach for 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 exosomes in the blood.
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…
