Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Primary barriers to application of immune checkpoint inhibitor (ICI) therapy for cancer include severe side effects (such as potentially life threatening pneumonitis [PN]), which can cause the ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Impact of treatment patterns on clinical outcomes in patients of advanced pancreatic cancer treated with chemotherapy: A large-scale data analysis from real world practice. This is an ASCO Meeting ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Global deep learning market prediction points to a 35.48% CAGR for 2026-2031, driven by AI adoption across industries, rising generative AI investments including in advanced analytics, and increasing ...

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.