GEN - Genetic Engineering and Biotechnology News

Deep Learning Model Developed to Help Predict Functional Impact of Regulatory Mutations

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
Labroots

Precision Oncology Unleashed: Challenges and Innovations in ctDNA and Deep Sequencing

ctDNA test, which is an important aspect in liquid biopsy, offers a non-invasive alternative to tissue biopsies for cancer diagnosis and monitoring. Ultra-deep ctDNA sequencing enabling the detection ...
EurekAlert!

Expanding the sequence spaces of synthetic binding protein using deep learning-based framework ProteinMPNN

Protein design is crucial for the treatment of human diseases, but traditional protein design methods have some limitations. Site-directed mutagenesis is highly dependent on the physiological ...
American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...