Overlegen nr. 4 - 2016

OVERLEGEN 4-2016 44 ›› New development in cognitive computing, a platform based on artificial intelligence and signal processing where computers learn patterns and rules, will impact us in many areas. One is medical imaging in diagnostics, where machine learning will assist repetitive jobs and provide better and more precise diagnostics. Another is in-person and online consultations, where digitalisation will enable virtual assistants and potentially a disruption in hospital management with potential to give staff more time with patients. Health management, enabled by the internet of things (IoT) and mobile sensors, will lift lifestyle management and risk management to a new level. In drug discovery, the implementation of new tools for drug design and creation, again aided by statstics and machine learning, can inform how to optimize the vast space of potential drug combination when many drugs and many targets are available. These and similar developments, will change how clinical practice develops. Giving the right treatment to the right patient at the right time, also termed precision medicine, is indeed one of the great frontiers of medicine today. Cognitive technology may transform how treatment plans are designed and how we utilize genomics and new biomarkers to achieve precision medicine. Data complexity in healthcare The central dogma of the Information Technology requirement in medicine is software that can efficiently ‘read •• mine • • understand’ medical data; such as patient diagnostic information/ health data, radiography images, clinical trial data, and drug combination therapy data etc. The health care system contains not only the simple text records, but also complex data ranging from graphs from the diagnosis labs to images from the radiology instruments. What if we could use image and text analytics to produce a computerised radiologist assistant which could quickly filter to clinicians/radiologists for decision support? What if computers can combine imaging data along with the rest of clinical patient data to summaries of the patients’ conditions, coincidental diagnosis, automatic triage and second opinion, as well as statistical comparisons to similar patients? IT companies see this need and collaborate with academia [1]. One example is Intel, a technology company, with a Health and Life Sciences division to power the data set management and analytic tools for the optimisation of diagnostics, treatment and care delivery [2] [3]. Another example is IBM’s Medical Sieve, a cognitive radiologist assistant with advanced multiClinical & healthcare systems will be transformed by artificial intelligence and Innovative computing In the last five years, we have seen significant developments in digital technologies for clinical diagnosis and personalised medicine. Innovative approaches are emerging to improve efficiency of healthcare systems. Av Ketil F. Widerberg og Gupta Udatha FACT ABOUT OSLO CANCER CLUSTER; Oslo Cancer Cluster is an oncology research and industry cluster dedicated to accelerating the development of new cancer diagnostics and medicines. We gather about 75 members from Norway and Northern Europe representing the entire oncology value chain. As a Norwegian Centre of Expertise, the Norwegian government partially funds the cluster. An evaluation from 2013 states that Oslo Cancer Cluster is a strong biotech cluster well positioned in the global oncology industry. Major industry trends now offer a unique opportunity to strengthen the cluster’s position as a global knowledge and innovation centre. Our members include academic research institutions, biotech companies, pharmaceutical companies, university hospitals, universities, support groups, financial institutions and regional develop- ment players in the field of cancer R&D. Together the members work to fulfill Oslo Cancer Clusters vision: «We are committed to improving the lives of cancer patients by accelerating the development of new cancer diagnostics and medicines.» Oslo Cancer Cluster har engelsk som arbeidsspråk og vi har valgt å ikke oversette teksten

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