A neural network was able to evaluate connections between brain structure and clinical data to predict psychiatric disorders in youth.
![AI trained on brain scans could better predict mental health issues in adolescents](https://www.advancedsciencenews.com/wp-content/uploads/2024/07/national-cancer-institute-BDKid0yJcAk-unsplash.jpg)
A neural network was able to evaluate connections between brain structure and clinical data to predict psychiatric disorders in youth.
A new AI diagnostic tool uses microbiome data and lifestyle factors to predict risk of multiple diseases, ushering in a new era of personalized healthcare.
AI is changing the labor-intensive process of manual cell counting, offering improved accuracy, efficiency, and a door into new scientific applications.
An AI made from plasma learns to play tic-tac-toe using varying and controllable mixtures of gases, in a major step forward.
An AI-based process recommender system for injection molding allows non-experts to set process conditions in real time.
Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.
AI is being leveraged to provide machines with the capacity to match or even outperform humans in many endeavors. So what does this mean for the synthetic chemist?
By combining two types of memory arrays, researchers can accelerate image recognition for more efficient machine learning.
Researchers create a soft robotic electronic skin with fingerprint-like patterns with future applications in prosthesis, wearable sensors, and medical devices.
An artificial neural network based entirely on memristors is developed.