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Showing posts from June, 2023

Machine Learning: Challenges and Future Directions

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  AI is being utilized widely to further develop the plan strategies and called for an investment in medications. Based on the massive pharmaceutical data and  machine learning  process, AI is a useful tool for data mining. One of the many areas that will benefit greatly from the strategic integration of machine learning is pharmaceutical sales. Machine learning is a branch of artificial intelligence, which is widely defined as the machine's capability to imitate intelligent human behavior. Artificial intelligence systems are used to perform complicated tasks in a way that is similar to how humans resolve problems. Machine learning term occurs by giving computer systems access to vast amounts of data that they can process and learn from themselves. It starts with data observation, which could involve examples, experiences, or direct instruction. The machine search for patterns in the data in order to make future commitments. The goal is for this to be an automatic process witho

AI Pharma Industry: Accelerating Drug Discovery and Development

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  Artificial Intelligence is beneficial in many different sectors. Some studies have shown its potential advantages not just in technology, but also in education and the business sector. Additionally, artificial intelligence has been proven to provide a massive impact on the healthcare industry. As to everyone’s knowledge, healthcare relies on more than just tips and tricks.  The applications of AI in the pharmaceutical industry Artificial Intelligence in the pharmaceutical industry (AI) can be implemented in almost every aspect, right from drug discovery and development to manufacturing and marketing. By leveraging and implementing AI systems in the core workflows, pharma companies can make all business operations efficient, cost-effective, and hassle-free. The best part is that AI systems are designed to deliver better outcomes as they continually learn from new data and experience, making them a powerful tool in the research and development wing of the pharmaceutical industry.