Discovery by Oxford Global’s Post

While #GenAI continues to dominate the (tech) world, my team quietly released two new Dataiku Solutions earlier this year focused on machine learning applications in drug discovery/development and clinical operations. Read my latest blog to check them out! The #TLDR is that - YES, ML still exists and is useful and YES, I still managed to make this blog heavily focused on GenAI and LLMs. Because these technologies working in tandem is where real value is found. https://lnkd.in/ecQxMfna

🔬💡 Accelerating Drug Discovery with AI and ML Models 💡🔬 Thrilled to announce that Our team has been recognized with a certificate for our participation in the Algorithm8.0 hackathon organized by Programmers Club AIKTC in collaboration with GDSC AIKTC held on March 1ST & 2ND 2024 AT ANJUMAN-I-ISLAM’S KAlSEKAR TECHNICAL CAMPUS , where we presented our innovative idea to leverage AI and ML models in the quest for groundbreaking therapeutics! 🎉 Idea: Harnessing the power of Artificial Intelligence and Machine Learning, our goal is to revolutionize the drug discovery process. By integrating advanced algorithms and big data analytics, we aim to accelerate the identification and development of new treatments, ultimately transforming healthcare outcomes. Impact on the Pharmaceutical Industry: AI and ML models offer unprecedented opportunities to streamline drug discovery processes. By optimizing workflows, reducing costs, and enhancing precision, we can expedite the journey from concept to market, benefiting both patients and pharmaceutical companies. Addressing Challenges: The drug discovery landscape is rife with challenges, from high costs to lengthy timelines. However, by leveraging AI and ML, we can overcome these obstacles, predicting outcomes with greater accuracy, identifying promising candidates, and optimizing drug properties. Enabling New Applications: Our approach enables exploration into new drug targets and innovative treatment modalities. By leveraging AI, we can uncover novel pathways, accelerate lead identification, and drive the development of tailored therapies for diverse medical needs. Providing Numerous Benefits: By accelerating drug discovery through AI and ML models, we aim to reduce costs, improve success rates, and deliver more effective treatments to patients worldwide. This not only enhances healthcare outcomes but also strengthens the competitiveness of the pharmaceutical industry on a global scale. Teamwork Makes the Dream Work: A special shoutout to my incredible teammates Vivek Kumar Singh and Manish Kumar mj , whose dedication were instrumental in our success. It was through our collaborative effort and unwavering teamwork that we were able to overcome challenges and achieve our goals. Excited to continue championing innovation at the intersection of AI, ML, and drug discovery, driving positive change in healthcare! 💊💡 #AI #ML #DrugDiscovery #Innovation #Hackathon

Amgen has developed a #MachineLearning platform to slash #ClinicalTrial times through smarter site selection. Known as ATOMIC, the system crunches disparate #datasets to predict optimal trial locations, expedite enrollment and trial processes. MORE ON THIS HERE: https://lnkd.in/eMa-rT3W #ML #AI #DataScience #data

Have you ever considered how AI will impact the future of clinical trials? Suvoda recently conducted a LinkedIn poll and found that most respondents believed the biggest impact of AI in the #clinicaltrial landscape would be to accelerate drug development and aid in data mining/analysis. Our VP of Global Software Engineering, @Priyanka Sharma, and our Chief Architect, @Andrew McVeigh, discuss the future of AI in #clinicaltrials and how the relationship between AI and human insights can help improve trial efficiency and innovation in a recent blog post. Such a great read, highly recommend. 

Explore how AI drives innovation in Drug Discovery, Clinical Trials, and Manufacturing. While the rewards are immense, risks like decision-making errors and data privacy concerns are at an all-time high. Learn how to tackle these challenges in this blog. https://hubs.ly/Q028ws-D0

Have you ever considered how AI will impact the future of clinical trials? Suvoda recently conducted a LinkedIn poll and found that most respondents believed the biggest impact of AI in the #clinicaltrial landscape would be to accelerate drug development and aid in data mining/analysis. Our VP of Global Software Engineering, @Priyanka Sharma, and our Chief Architect, @Andrew McVeigh, discuss the future of AI in #clinicaltrials and how the relationship between AI and human insights can help improve trial efficiency and innovation in a recent blog post. Such a great read, highly recommend. 

Have you ever considered how AI will impact the future of clinical trials? Suvoda recently conducted a LinkedIn poll and found that most respondents believed the biggest impact of AI in the #clinicaltrial landscape would be to accelerate drug development and aid in data mining/analysis. Our VP of Global Software Engineering, Priyanka Sharma, and our Chief Architect, Andrew McVeigh, discuss the future of AI in #clinicaltrials and how the relationship between AI and human insights can help improve trial efficiency and innovation in a recent blog post. Such a great read, highly recommend. 

We believe #AI can provide a paradigm shift in how we select novel drugs that will make a difference. Pairing AI tools with the experts who anticipate the journey of a drug candidate will increase the success rate. Combining Charles River’s drug discovery expertise with Valo Health’s machine learning systems provides the balance of traditional and modern approaches to achieve success and speed up your small molecule program. https://okt.to/PCrmHG

How do you think AI will impact the future of #clinicaltrials ? Our VP of Global Software Engineering at Suvoda, Priyanka Sharma, and our Chief Architect, Andrew McVeigh, discuss the future of AI in #clinicaltrials and how the relationship between AI and human insights can help improve trial efficiency and innovation in a recent blog post. Such a great read, highly recommend checking it out.

Please enjoy Life Sciences Symposium content and let us know how AWS can help your organization go faster. #AWS #Life Sciences