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Increasing AI/ML Footprint in Life Sciences and Healthcare

Increasing AI ML Footprint in Life Sciences and Healthcare

Published on Sep 06, 2023

The worldwide artificial intelligence in healthcare market is estimated to develop at a compound annual growth rate (CAGR) of 37.5% from 2023 to 2030, with a market value of USD 15.4 billion in 2022. Some of the primary driving causes of market expansion include expanding datasets of patients associated with health digital information, rising desire for individualized treatment, and rising demand for decreasing care expenditures.    

AI and ML are no longer just trendy terms; they fundamentally alter how we see medicine and the life sciences. Many technologies are being used in many industries because of their capacity to expedite processes, simplify complicated activities, and improve decision-making. In this post, we'll examine the expanding applications of AI and ML in healthcare and the life sciences and deconstruct their effects into more understandable terms.  

Read more: Healthcare Analytics Consulting: Are You AI-Ready? 

Increasing Adoption of Artificial Intelligence in the Healthcare Industry  

Here are some reasons why artificial intelligence is taking off in the healthcare sector:  

  • Healthcare Statistics: Consider all the information in the healthcare industry, such as patient records, test findings, and treatment histories. It's vast and could be overwhelming. AI helps in precisely and swiftly processing this data. It identifies patterns and crucial information. For tracking diseases and enhancing the standard of healthcare, this is revolutionary.  

  • AI chatbots: An AI chatbot is like a digital assistant for the healthcare industry. They may assist with making appointments, responding to health-related questions, and even assisting with mental health problems. They make access to healthcare more convenient because they are open 24/7.  

Artificial intelligence

Read more: Emerging Healthcare Technology Outlook 2023 

  • Speculating on health: AI is capable of identifying possible problems early on by examining the health data. This not only helps in enhancing care but also contributes to long-term health.  

  • Better Imaging: AI can examine X-ray and MR photos and assist clinicians in more correctly and speedily identifying issues. Better patient care results from fewer errors.  

  • Discovering New Drugs: The long process of creating new medications is being sped up by AI. It can evaluate enormous volumes of data to find prospective medication candidates. This implies that patients can access new and better medications more quickly.  

How AI/ML is Transforming Healthcare?

Here are some examples of how machine learning is changing the biological sciences:  

  • Finding Medicines: ML is a drug discovery superhero in the biological sciences. It's similar to a detective searching enormous amounts of information for hints regarding prospective medications. This boosts the procedure and helps patients receive their medications sooner.  

  • Personalized Care: ML considers lifestyle and medical history to build a treatment plan specifically for you. Better and more efficient healthcare is the result.  


  • Early detection: ML functions like a health detective ad helps in searching for early illness symptoms before they develop into larger issues.

  • Better Clinical Trials: Clinical trials, crucial for evaluating novel therapies, may be challenging. ML aids in improving them by creating more effective studies and forecasting patient reactions.  

The Use of AI in Life Sciences  

  • Gene Information: Genes serve as our bodies' handbook of operations. Scientists can better grasp this guidebook thanks to ML. It reveals information on illnesses, genes, and effective treatments for each.  

  • Utilizing Old Medicines: There are occasions when we already have treatments for new ailments. Healthcare professionals can discover these undiscovered treasures with the aid of ML.

  • Research: There is an abundance of research available. ML can read and analyze research articles more quickly, making it easier for scientists to discover critical data.  

Read more: Outlook 2023: The Growing Significance of Data Analytics in the Healthcare Sector 

Life Science


Artificial intelligence and machine learning are not limited to engineering. The engineers are revolutionizing it daily so that we can see its wide effect in the healthcare industry. Medical decisions have become faster with the help of machinery equipped with AI and ML.  

Analyzing the previous data sets, these technologies simplify complex tasks and make them efficient for patients. With the growing popularity of AI and ML, the healthcare industry will be more equipped with ML models and AI chatbots in the upcoming scenario. As a whole, technology is becoming a life savior, too.     

SG Analytics, recognized by the Financial Times as one of APAC's fastest-growing firms, is a prominent insights and analytics company specializing in data-centric research and contextual analytics. Operating globally across the US, UK, Poland, Switzerland, and India, we expertly guide data from inception to transform it into invaluable insights using our knowledge-driven ecosystem, results-focused solutions, and advanced technology platform. Our distinguished clientele, including Fortune 500 giants, attests to our mastery of harnessing data with purpose, merging content and context to overcome business challenges. With our Brand Promise of "Life's Possible," we consistently deliver enduring value, ensuring the utmost client delight.    

A leader in the healthcare domain, SG Analytics is assisting companies in leveraging the power of information. Contact us today if you are in search of efficient healthcare solutions to make sound business decisions.           

About SG Analytics       

SG Analytics is an industry-leading global insights and analytics firm providing data-centric research and contextual analytics services to its clients, including Fortune 500 companies, across BFSI, Technology, Media & Entertainment, and Healthcare sectors. Established in 2007, SG Analytics is a Great Place to Work® (GPTW) certified company and has a team of over 1100 employees and has presence across the U.S.A, the U.K., Switzerland, Canada, and India.      

Apart from being recognized by reputed firms such as Analytics India Magazine, Everest Group, and ISG, SG Analytics has been recently awarded as the top ESG consultancy of the year 2022 and Idea Awards 2023 by Entrepreneur India in the “Best Use of Data” category.