Nuclear Engineering International2h
AI and smart fusion control
A new AI-driven approach to tokamak plasma control offers an improved route to commercial fusion technology. Next Step Fusion ...
Demand Gen Report16h
Lusha Adds AI Recommendations to Elevate Sales Prospecting and Pipeline Development
Sales reps spend up to 40% of their time prospecting, leaving them with minimal time to build meaningful relationships with ...
Assembly Mag12d
Making Sense of Machine Data With Time Series Databases
A time series database management system (DBMS) efficiently handles large volumes of time-stamped data from sensors and ...
Automated polymer design tool integrates machine learning and molecular simulations
A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...
Scientific Research Publishing5d
Enhancing Predictive Analytics for Healthcare: Addressing Limitations and Proposing Advanced Solutions ()
The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in ...
Hosted on MSN27d
Real-Time Machine Learning is Accelerating Growth in Biotech and Pharma
Machine Learning: Revolutionizing Drug Discovery Machine learning is supercharging the drug discovery pipeline ... ensure trial data integrity, while predictive analytics help identify potential ...
Medical Xpress28d
Using machine learning to predict how people diagnosed with major depressive disorder respond to treatment
"Identifying objective biomarkers with predictive accuracy for therapeutic ... can predict treatment response in MDD through machine-learning techniques." To explore the potential of fNIRS and ...
Catalysts Of Change: Leadership’s Role In Pharma Data Science Innovation
As the demand for novel therapies and personalized medicine surges, leaders are uniquely positioned to create a culture of creativity, collaboration and innovation.
Too Old to Operate9d
Development of machine learning prognostic models for overall survival of epithelial ovarian cancer patients: a seer-based study.
To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...