New data provide key mechanistic insights into how TG4050 induces and sustains potent, CD8+ T cell responses in operable HNSCC[*] ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

You will be working together with other Machine Learning Engineers and Data Scientists. Together, you will shape the GenAI platform so either Eneco internal employees or external consumers can benefit ...

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the development of single-qubit quantum neural network technology for ...

Purchases of capital equipment by U.S. machine shops and other manufacturers fell to $387.3 million in July, down-9.5% from June but still 20.1% higher than the July 2024 result. The strength of the ...

Abstract: Alzheimer's disease (AD) is a neurodegenerative disorder affecting memory and cognition. Accurate diagnosis enables better disease management. This paper presents a hybrid approach for ...