Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
Frontiers

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...

AI is reengineering drug discovery by speeding up testing and scanning petabytes of data

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...
IEEE

Machine Learning Models Tailored to Resource-Constrained Environments, with a Focus on Data Preprocessing Techniques

Abstract: In the era of pervasive computing, machine learning (ML) is increasingly deployed on resource-constrained devices, such as smartphones, IoT devices, and edge nodes. This research explores ML ...
IEEE

Data Driven Mental Health Predicting Depression Using Machine Learning

Abstract: The rise of information investigation methods such as machine learning is opening up unused openings in the field of mental wellbeing. This department of inquire about, known as data-driven ...