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Scientists are predicting an end to the era of human and animal drug testing, saying that computer models will one day become so advanced that they will be able to predict the body's response to various substances.
The use of computer models would bring "unprecedented benefits" to medicine, and possibly even dispense with the need for drugs altogether, as doctors discovered ways to prompt the body's own immune system to react to threats, rather than introduce artificial remedies, they said.
By building sophisticated computer models which incorporated existing knowledge about an organism, scientists could predict the way the organism would respond to a drug by "switching on and off" various cell functions within the model, and then seeing how the whole system reacted.
Recent work of this type modelling sections of the pancreas had let to a great understanding of diabetes, an Israeli computer scientist said, and a model of the interaction of cancerous cells was also yielding insight into tumour development.
However, to develop a complete computerised model for even a simple organism would take more than ten years, and there would be no end to lab-based drug testing any time soon, he said.
"Biological systems can be modelled and analysed using man-made computerised systems," David Harel, professor of Computer Science and Applied Mathematics at the Weizmann Institute of Science, told a conference in Cambridge. "The challenge is to construct a full, true-to-all-known-facts, four-dimensional model of a multi-cellular organism.
"What this means is that the smartest approach to new drugs may not to be design a new drug at all, but instead to understand the way a biological system works in its environment," he continued. "The potential benefits are unlimited."
Professor Harel demonstrated a computer model of a C.elegans – a 1mm-long worm of interest to scientists because it had various systems in common with humans, despite having a relatively small number of cells – which helps to explain why certain cells in the worm developed particular functions.
Another model drew on the work of more than 400 research papers to show the interaction of T-cells – a type of white blood cell which plays a role in the immune system – that had become cancerous.
"This work, which is called 'systems biology', will make it possible to test drugs on computers and not animals," said Stephen Emmott, a visting professor of neural biology at University College London, who is also the head of computational biology at Microsoft Research Cambridge.
"It's also about developing novel therapies for curing disease by finding ways to trigger an immune response which the body wasn't capable of producing without using the blunt instrument of drugs."
Andrew Herbert, managing director of Microsoft Research Cambridge, which was hosting the event in honour of its 10th birthday, said: "Biology and computing science have gotten a lot closer together, to the point where you can now imagine a world where healthcare is based on software that knows about you and your immune system."
Drug trials are enormously costly, and even if they do reach so-called 'phase 3' stage, which normally involves large scale studies on tens of thousands of people, results are not always guaranteed.
In November last year, six men all aged under 40 suffered multiple failure after taking part in trials of an anti-inflammatory drug at a unit in Northwick Park Hospital.
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I read on Curedisease.net (a website of doctors and professionals) that treatment for diabetes (and other illnesses and diseases, see: The absurdity of vivisection on the internet) was delayed for decades because of relying on results from the tests they did on animal models . With the adverse effects from prescription drugs keep making the headlines and human trials in this country and abroad going devastatingly wrong I think I would sooner trust computer technology than animal testing any day. The sooner the better I say..
Jane, Nottingham, England
I think all of us in the biotech and pharmaceutical fields would like this to be so but the reality is decades away. All the computer can do is mimic the dynamics of the body as best as humans can input it. Seeing as the computer we use process in a way that is analogous to how these events in nature are "computed". I personally foresee the art of transgenic animals becoming more prevalent, leading to less reliance on animals before we see any rivalling "4D" computer software. But in tune with the hopes of many I hope these technologies bear fruition.
Emlyn, Greater London,
Kate, the reason they will be able to get a computer to do it is because we actually are figuring out "how the human works". Just like a simulation in say, surface chemistry, you don't need to know every detail of the system to yield useful results, you make an approximation. We don't understand the atom properly, but quantum mechanics has irreversibly altered technology. Medical knowledge doubles every 8 years now so they'll have enough info to do it soon, along with the computational muscle for it.
I wouldn't worry about your job either, it's unlikely we'll "work" in the usual sense of the word by in 20-40 years time. It makes it amusing when people talk about "demographics" problems in the future. People tend to project present trends, without realising that the trends change, rapidly and often. Grey bearded professors are the worst offenders in tha area, even though they are the greatest experts in science. Most scientists over 50 years old say all is impossible.
Henry Sterling, Liverpool, UK
As someone who has just finished a masters degree heavily oriented upon systems biology with my final dissertation on the said subject of diabetes in particular, I feel the professor might be slightly over-optimistic in his time estimates.
I feel that it might very well be impossible to completely model an organism as complex as a human in it's entirety such that we can dispense altogether with animal/human testing. The human body is a very complicated system whereby some unexpected emergent behaviors can arise from minute changes in its fundamental operation.
That said, systems biology allows for rapid identification of good candidate drugs and the early identification of potential side effects that can only be beneficial when used to augment current drug development.
James C, Newcastle, UK
I'd love this to be true, I'd have no job but it would still be great. I don't really understand how we can build a computer to act like a human when we don't understand how the human works though.
Kate, London,