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Life sciences experts see great potential for artificial intelligence to improve its operations.
FREMONT, CA: Life sciences experts see significant potential for artificial intelligence to enhance healthcare. A recent survey found that 90 percent of life sciences’ firms recognized AI as essential in driving innovation and achieving outcomes. Firms are recognizing that AI has begun to make huge inroads to life sciences, be it discovering huge biological data using machine learning, combining health records and genomic data, discovering new drugs, making the diagnosis, or customizing health procedures as in precision medicine. The following are the areas where the life science industry uses AI effectively.
• Advancing Diagnostics
Histopathology image analysis and automated diagnosis are the best matches for AI, given the technological progress in the digitalization of complete histology slides, which allow all microscopic magnifications. AI, combined with complex algorithms and automated immunohistochemical measurement systems, has advanced pathologists’ potential to oversee the analysis and concentrate on more complex cases.
• Research of New Products
Life sciences firms explore how AI can be leveraged to identify indications for existing products or research new candidates.
Using advanced learning algorithms to mine real-world structured and unstructured data to unleash insights can lead to the identification of new mechanisms of disease, new line extension, and design for pre-clinical experiments.
• Accelerating Drug Development
Across the industry, product development range several years from discovery to launch. Advancements in AI can reduce the time it takes to develop, manufacture, and launch new therapies to support the goal of reducing overall product development timelines. Scientists are combining research data, lab data, and clinical data, combined with information sources across the drug development spectrum, creating a holistic picture of the drug development.
• Driving Compliance
Compliance is a burden on companies and needs an approach to mitigate costs while meeting regulation. While automation tools are available, many do not satisfy the accuracy required to meet the policy’s demands. New AI applications are emerging, utilizing advanced algorithms based on customized NLP technologies and text-mining models. Using advanced models, it is possible to FIND keywords, phrases, and data patterns that may require anonymization.