**Artificial intelligence in Pharmaceuticals**
Artificial intelligence is a concept that involves developing intelligence in machine which is possible by learning from humans and interaction with environment.
few examples:
1. Playing chess against CPU. ( before making each moves CPU mimics millions of moves with possible winning outcomes and eliminating failure attempts at same time.)
2. Speech recognition i.e google voice search conversion of speech to text
3.Face recognition by apple i phones etc.
Basic terms :
1. Algorithms : algorithm is a set of rules or instructions given to an AI program, neural network, or other machine to help it learn on its own.
2. Big data :big data is a large volume of data that, when analyzed, produces usable data for deep learning that allows machines to solve complex problems .
Current application of AI in Pharma Companies:
1.Research based ;
a) Drug discovery : It involves finding a potent biologically active (therapeutic) compound out of many possible combinations of molecules usually takes more time. AI does it in fraction of time as it performs various combination so that compound found is potent and meets the desired effect in virtual models .Else wise, it does it in non-targeted way .
Novartis is currently using machine learning to classify digital images of cells, each treated with different experimental compounds. The machine learning algorithms collect and group compounds that have similar effects together.
b)clinical trials :
eg Deep 6 uses AI to proactively find drug trial candidates
for clinical trial , more amount of time is required for actual trial and choosing appropriate candidate. AI reduces this time by analyzing clinical data uploaded as profiles by doctors and researchers and then those candidate profile is chosen for clinical trial.IBM Watson helps match patients with the right drug trials
2.For Diagnosis
c)New therapy identification/optimizing old therapy :
eg TREWS an machine learning and deep learning based AI that is used to identify and prevent sepsis before it is fatal by analysing medical record and other pre and post septic tests of million septic infected patient . Thus optimizes drug therapy.
GNS Healthcare and Genentech use AI to develop new cancer therapies. A research team led by the National University of Singapore (NUS) has used an AI platform called CURATE.AI to successfully treat a patient with advanced cancer and completely halting disease progression
d) Personalized medicine and rare disease identification:
Using AI, body scans can detect cancer and other diseases early, as well as predict health issues people might face based on their genetics It uses each patient’s medical information and history to optimize the treatment decision-making. Recently, Watson correctly diagnosed a rare form of leukemia in a patient originally thought to have acute myeloid leukemia. It reportedly examined millions of oncology research papers in 10 minutes after which it successfully diagnosed the patient and recommended a personalized treatment plan
3. Related to product:
e) Supply chain management and marketing :
Machine learning makes it possible to discover patterns in supply chain data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks’ success, while constantly learning in the process.Source: DHL, Artificial Intelligence in Logistics, 2018 (PDF, 45 pp., no opt-in).
In digital marketing, it collects customer data from all possible source and performs targeted marketing , by word of mouth , by Medical representative or by running awareness campaign
f) Manufacturing :
Chemist can design dosage form by 3D printing and for manufacturing AI based robotic machinery are used .
few examples:
1. Playing chess against CPU. ( before making each moves CPU mimics millions of moves with possible winning outcomes and eliminating failure attempts at same time.)
2. Speech recognition i.e google voice search conversion of speech to text
3.Face recognition by apple i phones etc.
Basic terms :
1. Algorithms : algorithm is a set of rules or instructions given to an AI program, neural network, or other machine to help it learn on its own.
2. Big data :big data is a large volume of data that, when analyzed, produces usable data for deep learning that allows machines to solve complex problems .
Current application of AI in Pharma Companies:
1.Research based ;
a) Drug discovery : It involves finding a potent biologically active (therapeutic) compound out of many possible combinations of molecules usually takes more time. AI does it in fraction of time as it performs various combination so that compound found is potent and meets the desired effect in virtual models .Else wise, it does it in non-targeted way .
Novartis is currently using machine learning to classify digital images of cells, each treated with different experimental compounds. The machine learning algorithms collect and group compounds that have similar effects together.
b)clinical trials :
eg Deep 6 uses AI to proactively find drug trial candidates
for clinical trial , more amount of time is required for actual trial and choosing appropriate candidate. AI reduces this time by analyzing clinical data uploaded as profiles by doctors and researchers and then those candidate profile is chosen for clinical trial.IBM Watson helps match patients with the right drug trials
2.For Diagnosis
c)New therapy identification/optimizing old therapy :
eg TREWS an machine learning and deep learning based AI that is used to identify and prevent sepsis before it is fatal by analysing medical record and other pre and post septic tests of million septic infected patient . Thus optimizes drug therapy.
GNS Healthcare and Genentech use AI to develop new cancer therapies. A research team led by the National University of Singapore (NUS) has used an AI platform called CURATE.AI to successfully treat a patient with advanced cancer and completely halting disease progression
d) Personalized medicine and rare disease identification:
Using AI, body scans can detect cancer and other diseases early, as well as predict health issues people might face based on their genetics It uses each patient’s medical information and history to optimize the treatment decision-making. Recently, Watson correctly diagnosed a rare form of leukemia in a patient originally thought to have acute myeloid leukemia. It reportedly examined millions of oncology research papers in 10 minutes after which it successfully diagnosed the patient and recommended a personalized treatment plan
3. Related to product:
e) Supply chain management and marketing :
Machine learning makes it possible to discover patterns in supply chain data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks’ success, while constantly learning in the process.Source: DHL, Artificial Intelligence in Logistics, 2018 (PDF, 45 pp., no opt-in).
In digital marketing, it collects customer data from all possible source and performs targeted marketing , by word of mouth , by Medical representative or by running awareness campaign f) Manufacturing :
Chemist can design dosage form by 3D printing and for manufacturing AI based robotic machinery are used .
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