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 Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...