Imaging Gives Clearer Picture of Cancer Drugs' Chances of Success

The quest for new cancer treatments could be revolutionised by advances in technology that can visualise living cells and tissues, scientists claim. Leading edge imaging techniques will make it easier to identify which are the most promising new drugs to take forward for patient testing, a review of the technology suggests. Applying such techniques early in the drug discovery process could improve the success rate of new medicines by helping to rule out drugs that are unlikely to work.

Researchers at the University of Edinburgh are leading the way in using biological imaging to make the development of new cancer treatments more efficient. Recent advances mean that scientists can now check how experimental drugs are working inside living cells and in real time. Using automated microscopes to track fluorescent dyes, researchers can rapidly test thousands of potential drugs in different cancer cell types to find the most promising new treatments.

This pioneering approach - known as phenotypic drug discovery - monitors the effect of a trial drug on the disease as a whole rather than its impact on an individual target protein, which has been the approach until now. Writing in the journal Nature Reviews Cancer, scientists argue that the new technologies will help to better predict how a drug will work in real life, not just in the test tube. Currently, just five per cent of drugs tested in clinical trials are approved as therapies for patients. Often drugs do not work in a person as they do in an artificial environment. Sometimes treatments have unexpected side effects that are only picked up in the later stages of the development process.

Report author Dr Neil Carragher, of the Edinburgh Cancer Research UK Centre at the University of Edinburgh, said: "The drug discovery process is hugely expensive and inefficient. In Edinburgh we are leading the way in using biological imaging to streamline the process, allowing us to better select drug candidates with the lowest risk of side effects and the best chances of success in treating patients."

Most Popular Now

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

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...