How are Biopharma and Healthcare Companies Using AI in 2020?
Business + ManagementFeatured PostHealthcareBiopharmaHealthcareposted by ODSC Team August 31, 2020 ODSC Team
Over the past few years, artificial intelligence has become increasingly integrated into our day-to-day experiences. Two industries that have been particularly impacted are Healthcare and Biopharmaceuticals. Many healthcare and biopharma companies are utilizing AI in interesting ways. AI has influenced the development of new medications and therapies, changed the way we communicate with our healthcare providers, and helped doctors perform their jobs more efficiently and effectively.
John Snow Labs
Named for the physician who helped end the London Cholera outbreak of 1854, John Snow Labs, provides AI solutions to healthcare organizations. John Snow Labs’ out-of-the-box solutions help healthcare companies streamline their AI model pipelines, increasing efficiency, and helping the organizations operate at scale. John Snow Labs also provides support, ensuring that healthcare companies have state-of-the-art NLP technology and the most recent information and guidelines available.
Allen Institute for AI
In 2015, a team of engineers and researchers at the Allen Institute for AI created the Semantic Scholar, an open-source, free to use search engine that utilizes AI to more quickly and efficiently derive insights and information from the millions of scientific papers that are published each year. Most recently, Semantic Scholar has focused on providing access to data on COVID-19 to help facilitate essential medical research.
Winterlight Labs was founded in 2015 and is dedicated to using AI to improve the lives of people with psychiatric illness and dementia. Winterlight Labs’ focus is to reduce the amount of time it takes for people to access care. According to their website, their AI-based system is significantly faster, and more objective, than the paper-based systems frequently used to assess cognitive health. Additionally, their technology is able to use existing health data to identify the early stages of cognitive decline and help healthcare providers provide early intervention.
The Alan Turing Institute
The Alan Turing Institute is also focused on early detection and early intervention in mental health disorders. Using machine learning to identify patterns in large-scale data, the researchers at The Alan Turing Institute, are building a predictive model that can help healthcare workers detect and predict the progression of mental health disorders in patients. Ultimately, they hope to reduce the number of invasive tests a patient must endure, the costs incurred during testing, and the occurrence of negative patient outcomes.
WEX Inc., a financial technology solutions company, just recently released a chatbot that is powered by AI and designed to provide a personalized and responsive healthcare benefits experience to both consumers and employers. Available 24 hours a day, the chatbot provides immediate assistance with routine requests, allowing customer service representatives to focus on the more involved, time-consuming issues their customers encounter.
If you’re interested in learning more about how healthcare companies and biopharmaceuticals are using AI, check out the below sessions at ODSC Europe and ODSC West this fall.
– “Semantic Scholar and the Fight Against COVID-19” Oren Etzioni, PhD│CEO│Allen Institute for AI
– “Data Science for Suicide Prevention” Jennifer Redmon│Chief Data Evangelist│Cisco Systems, Inc.│Director of Data Science & AI│The Erika Legacy Foundation and Dr. Annie Ying│Data Science Manager│Cisco Data Science Lab
– “Solving Real-life Challenges in Detecting Cognitive Diseases from Speech using ML” Jekaterina Novikova, PhD│Director of Machine Learning│WinterLight Labs
– “Practical, Rigorous Explainability in AI” Tsvi Lev│General Manager│NEC Corporation
– “Generative Codes for Clinical Speech Pathology Applications” Afsaneh Asaei, PhD│Head of Artificial Intelligence │UnternehmerTUM Neural
– “CRESST: Complete Rare Event Specification using Stochastic Treatment” Debanjana Banerjee│Data Scientist│Walmart Labs, Bangalore
– “From Longitudinal Patient Observational Data to Individualized Treatments Effects Using Causal Inference” Ioana Bica│Doctoral Student│The Alan Turing Institute
– “Spark NLP for Healthcare: Lessons Learned Building Real-World Healthcare AI Systems” Veysel Kocaman, PhD│Sr. Data Scientist│John Snow Labs