Krishna Cheriath’s Post

Join me, Sarika K., Clinical Solutions Owner at MaxisIT Inc., and Jerald S. Schindler, DrPH, who has over 30 years of experience in Healthcare/Pharma, for an exclusive webinar on May 15, 2024, at 11:00 AM EST, titled "High Performance Data Science to Accelerate Clinical Research." During this webinar, we'll delve into the critical role of data science in clinical research and explore how a modern Statistical Computing Environment (SCE) can transform clinical research. Discover how to optimize drug development timelines, ensure high-quality data, and explore the impact of AI in clinical trials. 📅 𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝗬𝗼𝘂𝗿 𝗦𝗽𝗼𝘁 𝗡𝗼𝘄: https://lnkd.in/esXXEcHr #PharmaDataScience #ClinicalResearch #DataManagement #SCEvolution #ArtificialIntelligence #WebinarAlert

Hot Topic! How AI is being used in drug discovery!

Unlocking the Secrets of Search Behavior: The VS.model.SearchQuery Collection is revolutionizing medical research, acting as a DNA molecule that unravels search behavior. By enabling advanced filtering, sorting, and temporary hiding of specific categories, it helps researchers manage vast data, highlighting the most relevant pieces. More importantly, it can extract values from each facet in a specific category, providing deep insights into the interests and preferences of searchers, leading to more precise conclusions and potentially realigning research focus.

Unlocking the Secrets of Search Behavior: The VS.model.SearchQuery Collection is revolutionizing medical research, acting as a DNA molecule that unravels search behavior. By enabling advanced filtering, sorting, and temporary hiding of specific categories, it helps researchers manage vast data, highlighting the most relevant pieces. More importantly, it can extract values from each facet in a specific category, providing deep insights into the interests and preferences of searchers, leading to more precise conclusions and potentially realigning research focus.

🔬 Discover the power of Data Logging in Medical Experiments! 📊 Our latest blog post uncovers the game-changing benefits of harnessing data for cutting-edge research.

Engaging patients is key to improving patient outcomes in clinical care and enrolling and retaining patients in research studies. With improvements in big data analytics and artificial intelligence, we are increasingly looking to technological solutions to improve patient engagement. How does the human side of patient engagement intersect with the technological? I am honored to host together with my wonderful colleague Lysel Brignoli an in-person conference in Malvern PA on March 28, 2024 exploring these themes. Some special guests include: -Susan Thornton on redefining the patient voice -Carmen Guerra and Mylynda Massart discussing community engagement to increase diversity in clinical trials -Tonya Hongsermeier MD, MBA, FAMIA on patient registries in the era of electronic health records -Hyeokhyen Kwon, Ph.D. and J. Lucas McKay PhD MSCR on using AI to develop a patient centered measure of gait in Parkinson's disease -Christine Swisher, PhD discussing transforming clinical trials through embedded AI, purified Real World Data, and causal inference Please join us! Registration and agenda information: https://lnkd.in/dFM2upCV #patientengagement #clinicalltrials #artificialintelligence #bigdata #clinicaldecisionsupport #patientregistries #dataanalytics #rwd #rwe

Enhanced Classification of Imbalanced Medical Datasets using Hybrid Data-Level, Cost-Sensitive and Ensemble Methods Addressing the class imbalance in classification problems is particularly challenging, especially in the context of medical datasets where misclassifying minority class samples can have significant repercussions. This study is dedicated to mitigating class imbalance in medical datasets by employing a hybrid approach that combines data-level, cost-sensitive, and ensemble methods. Through an assessment of the performance, measured by AUC-ROC values, Sensitivity, F1-Score, and G-Mean of 20 data-level and four cost-sensitive models on seventeen medical datasets - 12 small and five large, a hybridized model, SMOTE-RF-CS-LR has been devised. This model integrates the Synthetic Minority Oversampling Technique (SMOTE), the ensemble classifier Random Forest (RF), and the Cost-Sensitive Logistic Regression (CS-LR). Upon testing the hybridized model on diverse imbalanced ratios, it demonstrated remarkable performance, achieving outstanding performance values on the majority of the datasets. Further examination of the model's training duration and time complexity revealed its efficiency, taking less than a second to train on each small dataset. Consequently, the proposed hybridized model not only proves to be time-efficient but also exhibits robust capabilities in handling class imbalance, yielding outstanding classification results in the context of medical datasets. #ClassImbalance #MedicalData #VotingEnsemble #MachineLearning #Research #MaterialScience #Innovation #Journal #Publication #Scopus #OpenAcess #Environment #Engineering #Scientific #Science #Study #R&D Read more https://lnkd.in/gPNt4VWu   For more information, please read our recent articles at https://lnkd.in/gqaMY-sW

-----------------------------------LIVE WEBINAR--------------------------------- Join Jerald S. Schindler, DrPH, and Sarika K. from MaxisIT Inc. for a webinar on May 15th, 2024, at 11:00 AM EST, titled "High Performance Data Science to Accelerate Clinical Research." Discover how a modern Scientific Computing Environment (SCE) can optimize drug development timelines and ensure high-quality data, while exploring the impact of AI in clinical trials.

Join me, Jerald S. Schindler, DrPH, and Sarika K., Clinical Solutions Owner at MaxisIT Inc., for an insightful webinar on May 15, 2024, at 11:00 AM EST, titled "High Performance Data Science to Accelerate Clinical Research." In this session, we will explore the critical role of data science in clinical research and discuss how a modern Statistical Computing Environment (SCE) can accelerate your clinical research. You’ll learn about optimizing drug development timelines, ensuring high-quality data, and the impact of AI in clinical trials. 📅 𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝗬𝗼𝘂𝗿 𝗦𝗽𝗼𝘁 𝗡𝗼𝘄: https://lnkd.in/esXXEcHr #PharmaDataScience #ClinicalResearch #DataManagement #SCEvolution #ArtificialIntelligence #WebinarAlert