Pharma turns to Artificial Intelligence to accelerate drug
discovery

 

The world’s foremost
drug companies are turning to Artificial Intelligence to advance the
hit-and-miss business of discovery of new medicines. Many other medical
industries are also discovering the potential of artificial intelligence to
help streamline the drug discovery process. The aim is to harness Morden
supercomputers and machine learning system to predict how molecules will behave
and how probable they are to make a useful drug, thereby saving time and money
on unnecessary test. Artificial Intelligence system plays a central role in
other high-tech areas such as the development of driverless cars and facial identification
software. Many pharma companies are starting to realise the potential of this
approach and how it can help improve efficiencies. It is not the first-time
drug makers have turned to high-tech solution to boost R efficiency. The
introduction of high throughput screening, with robots to rapid test millions
of compounds produced mountains. When it comes to AI, big pharma is treating
cautiously, in the knowledge that the technology has yet to demonstrator it can
successfully bring a new molecule from computer screen to lab.

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

 

Enhancing the Circuitry

 

Graphic chip
makers Nvidia is wooding India’s top artificial intelligence and machine
learning start-ups to embed its hardware and software in their technology
products and services. Artificial Intelligence aims to build machines that can
stimulate human in intelligence process while Stanford University describes
machine learning as “the science of getting computers t act without being
explicitly programmed. A start-up is building intelligence screening solution
to aid diagnosis through Artificial intelligence power analysis of visual
medical data. This way the company aims to improve speed, accuracy and
consistency of number of screening process. Also medical institutions can serve
more patients, with a significant reduction in human error.

 

Human Computation

 

Computation
is the grass root level of Artificial Intelligence or Automation. In reality
computation alone cannot implied in industry, rather it needs Human
Computation. This involve the interaction and the intervention of human. These new trends and systems present exciting new
opportunities for Artificial Intelligence. we can now construct automated
systems that influence the computation of a huge number of human computers to solve
problems that neither humans nor machines alone can solve easily. The goal of
research in Human Computation, is to shed some light on the anatomy of these
human-in-the-loop computational systems, methods for optimizing their efficiency
and effectiveness at solving problems, and the fundamental research questions
that need to be addressed in building such systems. Human Computation is a
participatory sensing project where humans actively decide where and when to
collect information can be considered human computation; on the other hand, it
is not human computation if the participants are merely the sensor carriers,
with no conscious role in
determining the outcome of the computation.