ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL INDUSTRY

 INTRODUCTION: -

According to father of Artificial Intelligence, John McCarthy it is “The science and engineering of making intelligent machines”. This term was used in the year 1956 and the concept was used. Artificial intelligence is a branch of computer science that deals with the problem solving by the aid of symbolic programming. Artificial intelligence is latest technology which innovations help pharmaceutical industry to work in advanced level and also in research. In recent times the pharmaceutical industry discovers novel and innovative ways to use this powerful technology to help solve biggest problems facing pharma today. Over the last 5 years, the use of artificial intelligence in the pharma and biotech industry has redefined how scientist develop new drugs, tackle disease. Artificial intelligence in pharmaceutical industry refers to the use of automated algorithms to perform the task which traditionally rely on human intelligence.

 HISTORY OF ARTIFICIAL INTELLIGENCE: -

• 1941-First electronic computer technology was available

• 1956-Term artificial intelligence was introduced

• 1980s-Quality control system was introduced

• 2000-First sophisticated walking robot was available

 OBJECTIVE: -

Main objective of this artificial intelligence is to identify useful information, processing problems and give an abstract account of how to solve them.

   TOOLS OF ARTIFICIAL INTELLIGENCE: -

• Robot pharmacy- The robot has proved to be far better than humans in delivering better and accurate medications. The main motive is to improve the safety of patients. USCF medical center uses robotic technology for the preparation of medicines and tracking medications. The abilities of the robotic technology include preparation of oral as well as injectable medicines which include chemotherapy drugs too. The technology prepared 3,50,000 medicines without any error which is great step in artificial intelligence.

• MEDi robot-MEDi is a short form for medicine and engineering designing intelligence. It was developed as part of a project led by Tanya Beran, professor of community Health Sciences at the university of Calgary in Alberta. The robot first builds a rapport with the children and then tells them what to expect during a medical procedure although the robot cannot think, plan or reason. It can be programmed such that it shows to have artificial intelligence.

• Erica robot-It is a new care robot that has been developed in Japan by Hiroshi Ishiguro, a professor at Osaka university. It was developed in collaboration with the Japan Science and Technology agency, Kyoto University and the Advanced Telecommunications Research institute international (ATR). The robot cannot walk independently, but it is developed in a such way that it can understand and answer the questions with human like facial expressions.

• TUG robot- Aethon TUG robots are designed to autonomously travel through the hospital and deliver medications, meals, specimens, materials and carry or transfer linen and trash.

• Berg-It is a Boston-based biotech and is one of the important players delivering artificial intelligence in various processes. It has an AI-based platform for drug discovery which has huge database of patients and help to speed up the drug development process.

 APPLICATIONS OF ARTIFICIAL INTELLIGENCE: -

• Disease identification

• Radiology and radiotherapy

• Clinical trial research

• Drug discovery

• Personalized medicine and rare disease identified

 ADVANTAGES OF ARTIFICIAL INTELLIGENCE TECHNOLOGY: -

• Error reduction- It decreases error and helps to achieve accuracy in less time.

• Medical applications-Physicians are assessing the patient and analyzing the health risk with the help of artificial intelligence. They are trained with the help of artificial surgery simulators such as brain stimulation, heart stimulation and GIT stimulation.

• Increase technological growth-AI technology helps to enter into the world of more advanced technology which are helpful to find new chemical compounds and entities, for example-QSAR, QSPR.

 ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY PROCESS: -

Chemical manufactures and pharmaceutical manufacturers are using deep learning and NLP to analyses and understand vast number of patents and genomic data science information.AI supercomputers observe and analyses the information to identify relation between the compound and then to propose the new drug. The selection of successful new drug molecule is the hardest task from the bunch of potentially pharmacologically active chemical entities. Pharmaceutical industry uses benevolent artificial intelligence to make fewer molecules with more surety about their properties to get clinically effective much easily. Generative Adversarial Networks (GANs) have the ability to design drug molecule.

ARTIFICIAL INTELLIGENCE IN HEALTHCARE SYSTEM: -

In healthcare, AI system is useful to organize patient dosage form, route of administration or treatment plans in a better manner and to guide physicians.

• Manufacturing of medical record-In healthcare system, maintaining the medical record is a difficult task, with the implementation of artificial intelligence technology collection, storage, tracing of data becomes easy.

• Treatment plan designing- Artificial intelligence technology is useful for designing treatment plans. It considers the patient reports, clinical expertise, post data collection and suggest suitable treatment plan to physicians.

• Helping in repetitive jobs- AI technology is useful in repetitive working condition like analyzing X-ray images, radiology, ECG and ECHO for detecting the spots and identifying the problems.

• IBM launched an algorithm called ‘medical sieve’. It is a cognitive assistant with good analytical and reasoning ability. It is suitable for identifying the images and solving the problem easily.

• Accuracy of medicine- Artificial intelligence shows good impact on genomics and genetic development. It is useful for observing patterns in the genetic information and medical record to identify the mutation and linkage related to disease.

  AI INNOVATIONS: -

• Novartis-It uses AI to predict untested components researchers to explore new cures.

• Deep 6- It uses AI to proactively find drug trial candidates.

• GNS Healthcare and Genentech-It uses AI to develop new cancer therapies.

• AstraZeneca and Alibaba-They build AI to help patients with automated cancer diagnostics.

• Healx-It uses AI to help pharma companies to find treatment for rare disease.

 CONCLUSION: -

Artificial intelligence is boon for pharmaceutical companies, helping the healthcare system to climb new ladders. The best use of AI in the pharmaceutical industry are in drug discovery, drug manufacturing, diagnostic assistance, clinical trials and speeding medical treatment process. It helps the companies to improve efficiency and help in taking better decisions for patient care with less error and more accuracy.

 REFERENCE: -

Written by Aiforia, April 14,2020,5 reasons to use AI in clinical diagnostics http://www.aiforia.com/ (accessed on 2 october,2021)

Forbes, December 26,2020, the increasing use of AI IN pharmaceutical industry www.forbes.com (accessed on 3 october,2021)

Stefanini group, April 08,2020, what is AI? and how can it be used for pharmaceutical industry https://stefanini.com (accessed on 3 october,2021)

Ch krishnaveni, swarupa aravapalli, JVC Sharma, June 2020, artificial intelligence in pharm industry-a review https://www.researchgate.net (accessed on 3 october,2021)

Images ,artificial intelligence in pharmaceutical industry ,proxzar https://images.app.goo.gl/WGoK7JkR6ZSERiAQA ,devsdata https://images.app.goo.gl/zAkvakzthrocM6Bie6 ,arcana https://images.app.goo.gl/ALLceD9nTtmcnQxf6

 BY: AKSHITA BONDRE

        CLINOSOL TRAINEE INTERN-BUSINESS DEVLOPMENT