AI-Driven Diagnosis and Medical Applications Leveraging Multimodal Data
Artificial Intelligence (AI) is revolutionizing the healthcare industry by enhancing diagnostic accuracy and enabling personalized treatment plans.
Data-Driven Model for Synthetic Data of Engineering Systems
The first two tools are very similar. They use engineering relationships established through physics and solve those relationships through approximate or closed-form techniques. The third method is purely based on data.
Models for Synthetic Data of Engineering Systems
1&2 use engineering relationships established through physics and solve those relationships through numerical or closed-form techniques. 3 is purely based on data.
Penetration of AI/ML in EPC companies
The global EPC (Engineering, Procurement, and Construction) industry accounted for 7.5% of the global GDP in 2022 and is growing at a rate 2-3% higher than the GDP growth rate.
How Important Is Engineering or Physics In This Data Driven Machine Learning World
Many years back I was looking for good algorithms for an online estimation of the parameters of a parallel robot mainly for self-calibration. I applied traditional nonlinear Optimization after modelling higher-degree nonlinearities as noises.
Important Learning Processes for Artificially Intelligent Industrial Systems
Today AI seems to be everywhere and is trying to automate almost everything we use or interact with daily. But somehow the large-scale industrial systems seem to adapt to the application of AI slower than expected.
The Transformative Power of Multimodal Data Generation in Healthcare
In the rapidly evolving landscape of healthcare, the integration of advanced technologies and data science is reshaping the way we diagnose, treat, and manage diseases.
Navigating Synthetic Data Technology Landscape
One of the most important factors that influences decision making across industries is data. The medical industry is no different. From medical research and clinical trials to introducing new treatments, sound medical data is a key component.
Synthetic Test Data: High-value use cases in medical product development
Innovation can be a driving force for quality improvement — synthetic data, robust analytics, and AI-powered testing tools can uncover answers at a faster pace than today‘s cumbersome, resource-heavy, disjointed test data management processes. I
Overcoming test data challenges with synthetic test data for medical product development
In my 20+ years of association with healthcare and life sciences industry, I found that medical product companies often face fragmented data assets, limited access to clinical information, and lengthy development processes.