in silico Clinical Trials: How Computer Simulation will Transform the Biomedical Industry

The term 'in silico clinical trials' refers to: "The use of individualised computer simulation in the development or regulatory evaluation of a medicinal product, medical device, or medical intervention." While computer simulation is widely used for the development and de-risking of a number of 'mission-critical' products such as civil aircraft, nuclear power plants, etc, biomedical product development and assessment is still predominantly founded on experimental rather than computer-simulated approaches. The need for long and complex experiments in vitro, on animals, and then on patients during clinical trials pushes development costs to unsustainable levels, stifling innovation, and driving the cost of healthcare provision to unprecedented levels.

The Avicenna Action, funded by the European Commission, has engaged 525 experts from 35 countries, including 22 of the 28 members of the European Union, in an 18-month consensus process, to produce this research and technological development roadmap.

This document provides an overview of how biomedical products are developed today, where in silico clinical trials technologies are already used, and where else they could be used. From the identification of the barriers that prevent wider adoption, we derived a detailed list of research and technological challenges that require pre-competitive funding to be overcome.

Download: in silico Clinical Trials: How Computer Simulation will Transform the Biomedical Industry (.pdf, 5.500 KB).

Download from eHealthNews.eu: in silico Clinical Trials: How Computer Simulation will Transform the Biomedical Industry (.pdf, 5.500 KB).

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...