Machine learning - Strategic Insights Report (Page 26)

Machine learning

Personalized Medicine Breakthrough: Predicting SLE Activity through Hierarchical Machine Learning

Researchers from Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a hierarchical machine learning model to predict 12-month SLE activity in patients with systemic lupus erythematosus (SLE). This innovative approach considers patient demographics, laboratory, clinical features, treatments, and pathways, resulting in a reliable tool for predicting SLE activity. The model

Machine learning

Revolutionary Integration of Machine Learning and Vibrational Spectroscopy for Food Safety

The integration of machine learning with vibrational spectroscopy has significantly advanced the analysis of food quality, authenticity, and safety. Ohio State University researchers reported that the synergy between machine learning and vibrational spectroscopy methods, including near-infrared, mid-infrared, and Raman spectroscopy, has enhanced capabilities for identifying adulterants, quantifying quality indicators, and

Machine learning

University of Sheffield Offers MSc Artificial Intelligence for Engineering Programme Starting 2026

The University of Sheffield is now accepting international applications for its one-year postgraduate engineering course in Artificial Intelligence (AI) for Engineering, designed to equip students with advanced AI skills and prepare them for careers in robotics, automation, aerospace, green energy, and biotechnology. This MSc programme provides a strong foundation in

Machine learning

Artificial Intelligence in Surgery: A Growing Field with Emerging Applications

Research has shown that large language model-based artificial intelligence (AI) chatbots are increasingly being used in surgery, with a significant increase in publications from 2023 to 2024. The United States led in publications, accounting for 52.1% of the total, with Harvard Medical School emerging as the leading institution with

Machine learning

Artificial Intelligence in Physical Education: A New Hybrid Decision-Making Model

A recent study from Shandong University has introduced a novel hybrid decision-making model that incorporates the weighted aggregated sum product assessment (WASPAS) technique into the q-rung linear Diophantine fuzzy set (q-RLDFS) framework to select the most suitable artificial intelligence (AI) algorithms in uncertain and vague environments. The primary objective is

Machine learning

Hybrid Model Outperforms Conventional Models in Predicting Adverse Prognostic Features in Prostate Cancer

Researchers at the Shanghai University of Traditional Chinese Medicine have made significant progress in developing a hybrid model that integrates clinical characteristics with radiomics features to predict adverse prognostic features in prostate cancer. The study aimed to develop MRI-based radiomics machine learning models for predicting adverse pathological prognostic features in

Machine learning

Breakthrough in Intervertebral Disc Degeneration Research with New Biomarker Identification

Researchers from Shanghai Jiao Tong University School of Medicine have made a significant discovery in understanding intervertebral disc degeneration (IDD) using competing endogenous RNA (ceRNA) networks. By constructing a novel ceRNA network, the team was able to identify pivotal gene markers and pathways involved in IDD. The study found 119

Machine learning

Artificial Intelligence Predicts Fracture Toughness in Human Bones

Researchers at Abdullah Gul University have made significant progress in using artificial intelligence and machine learning to predict fracture toughness in human bones. The study used Raman spectroscopy and machine learning algorithms to analyze ex vivo human femoral cortical bone specimens, providing a new approach to bone research. The findings

Machine learning

Artificial Intelligence Breakthrough in Predicting Hydrogen Solubility

Researchers at Imam Mohammad Ibn Saud Islamic University have successfully employed machine learning algorithms to develop advanced predictive frameworks for predicting hydrogen solubility in aqueous environments. According to the study, the sophisticated modeling required to decipher complex parameter interactions identified key factors influencing hydrogen solubility dynamics, including temperature, pressure, and

Machine learning

New Research on Colon Cancer Predicts Adherence to Diagnostic Colonoscopy Using Machine Learning

Middle-aged and elderly adults in China have a low rate of diagnostic colonoscopy, highlighting the need for improved adherence to this test. Researchers from the Baoshan District Center for Disease Control and Prevention in Shanghai, China, developed a machine learning model to predict adherence to diagnostic colonoscopy among this population.

Machine learning

Automated Segmentation of Lumbar Paraspinal Muscles Shows Promise in Chronic Low Back Pain Management

Chronic low back pain is a global health issue with significant socioeconomic burdens, affecting millions of people worldwide. Researchers at Griffith University have made a breakthrough in developing an automated method for segmenting and analyzing lumbar paraspinal muscles (LPM) using artificial intelligence. This innovative approach has the potential to improve

Machine learning

Emerging Trends in AI-Assisted Medical Technologies

Patent filing data from 2001 to 2023 reveals the rapid growth of research and development in AI-assisted medical technologies, with a focus on treatment response monitoring, identification of new patterns in human physiology and disease, clinical workflow management, pattern recognition and classification for image-based diagnosis, and development of personalized diagnostics

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