Genes
New research conducted by a team at Sun Yat-Sen University in Shenzhen, People's Republic of China, has made significant discoveries in understanding the role of astrocytes in perioperative neurocognitive disorders (PND). The study, published in the Journal of Neuroscience Research, analyzed 9976 and 9484 single-cell transcriptomes from hippocampal
Machine learning
Researchers from Anhui University in Hefei, People's Republic of China, have proposed an intelligent scheduling method for ambulatory surgery using machine learning and fuzzy optimization. The method aims to improve the predictive accuracy of uncertain parameters and the efficiency of elective surgery schedules. The research team conducted a
Associations
Oakstone Society has introduced an advanced AI-based risk control framework, developed under the guidance of Professor Cedric Halden, which combines the power of Trivora AILegacyX to improve financial education, decision accuracy, and market stability through real-time monitoring and machine learning. The framework aims to transform risk management across educational, institutional,
Machine learning
Advances in Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) have significantly improved water resource management. A recent review paper published in Discover Internet of Things highlights the increasing role of IoT applications in the field of water resources engineering (WRE). The paper, titled "Use of
Drug discovery
Machine learning has been touted as a means to increase efficiency in the drug development pipeline by identifying high-quality compounds early on. However, its potential has been hampered by the "generalizability gap," where models fail to recognize chemical structures they were not exposed to during training. Vanderbilt University&
Machine learning
Researchers at the Hospital of Stomatology have developed and validated a predictive nomogram and deep learning model to determine the best treatment approach for patients with skeletal Class III malocclusion. The study, published in the BMC Oral Health journal, utilized computed tomography (CBCT) images of 313 patients to identify key
Avian influenza
Researchers at Heidelberg University have developed a machine learning model that can predict highly pathogenic avian influenza outbreak patterns in Europe with great accuracy. The model, led by epidemiologist Prof. Dr. Joacim Rocklov, combines various indicators such as local temperature, precipitation conditions, and water levels to identify high-risk areas and
Cloud computing
Google, a previous investor and current cloud provider for Anthropic, is reportedly in discussions with the artificial intelligence (AI) startup for a new deal that would grant the company access to $10s of billions of dollars' worth of cloud computing power. The proposed agreement would center on Google providing
Machine learning
The pharmaceutical industry is undergoing a profound digital transformation, leveraging emerging technologies such as artificial intelligence (AI), the Internet of Things (IoT), and real-time analytics to revolutionize manufacturing. However, this transformation is accompanied by an underestimated cybersecurity risk. As manufacturing operations become increasingly interconnected with enterprise resource planning systems, clinical
Machine learning
Researchers at the University of Hong Kong have developed an explainable machine learning framework to understand the relationship between urban morphology and building energy consumption in Dongguan, China. The study integrates large-scale smart meter records with 3D building footprints to construct high-resolution datasets, demonstrating superior predictive performance over comparative methods.
Machine learning
A team of researchers at the University of Ulsan in South Korea has made a breakthrough in simulating high-temperature proton exchange membrane fuel cells (PEMFCs) using a novel deep learning approach. The study aimed to address the high computational cost and data generation challenges in PEMFC simulations by introducing a
Machine learning
Researchers at the University of Hong Kong have developed an explainable machine learning framework to understand the relationship between urban morphology and building energy consumption in Dongguan, China. The study integrates large-scale smart meter records with 3D building footprints to construct high-resolution datasets, demonstrating superior predictive performance over comparative methods.
