Early Screening

Early screening aims to detect diseases or conditions at their earliest stages, enabling timely intervention and improved outcomes. Current research heavily utilizes machine learning, particularly deep learning models like convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to analyze diverse data types including medical images, physiological signals, and even text data from patient records or literature reviews. This work is significantly impacting healthcare by improving diagnostic accuracy, efficiency, and accessibility, particularly in resource-constrained settings, while also accelerating research in fields like drug discovery and materials science.