Call For Papers

Introduction – Deep learning has revolutionized medical imaging by offering automated, high-precision analytical methods that transform diagnostic processes. This proposal outlines a topical collection dedicated to “Deep Learning in Neuroimaging,” emphasizing its critical role in enhancing diagnostic accuracy, early disease detection, and personalized treatment strategies in neurological disorders. Importance of ... read more

Generative AI is revolutionizing medical imaging by producing high-resolution, synthetic yet realistic images that enhance disease diagnosis, monitoring, and treatment planning. By leveraging deep learning and neural networks, these models improve image quality, reduce noise, and support anomaly detection. Additionally, AI-driven approaches enable predictive analysis, aiding in disease progression forecasting ... read more

Medical image evaluation and bioinformatics and computational biology processes become more efficient with the help of artificial intelligence systems in healthcare and life sciences. Advanced biological data requires innovative AI solutions to merge scalability with collaboration for developing reliable and efficient vital applications. The emerging field of Collaborative AI solves ... read more

A critical appraisal Alzheimer's disease (AD) is a devastating mental illness in society and the etiology and pathogenesis of AD are still poorly understood. One of the key hallmark pathological proteins of AD is tau, where the pathophysiology and the functional relationships between hyperphosphorylation of tau and synaptic damage in ... read more

Automated quality control in manufacturing is crucial for ensuring product reliability, especially in industries where safety and precision are paramount. Traditional visual inspection methods, reliant on human operators, are prone to fatigue-induced errors, necessitating advanced solutions. This thematic issue explores the application of deep learning-based machine vision for surface defect ... read more

Diseases with infectious agents continue to spread at an increasing pace year after year, and they are directly linked to high incidences of death and morbidity. Several researchers have been drawn to the complicated circumstances surrounding infectious diseases in order to examine the potential reasons that facilitate the recurrence and ... read more

The demand for novel drug research is driven by therapy inadequacies and the increasing incidence of disease. The potential use of biodiversity in the aquatic habitat makes future significant advancements in drug development possible. The marine environment's unique properties have piqued researchers' interest in discovering novel chemicals. The evolutionary process ... read more

A non-invasive imaging technique termed magnetic resonance imaging (MRI) creates detailed, three-dimensional anatomy images. It is frequently employed in the diagnosis, monitoring, and detection of diseases. MRIs use magnets to create three-dimensional images of the body’s internal structures. It can draw attention to alterations in bodily tissue that point to ... read more

Opportunities exist to automate and enhance the precision of medical picture analysis through the use of generative AI. Picture segmentation, picture synthesis, patient outcome prediction, and anomaly detection are among the applications of Generation AI. Data security and privacy are two major issues that businesses may run into when generative ... read more

Computational genomics has emerged since the beginning of the 21st century. Recently, along with the sequencing technology at single-cell level, computational genomics step forward to the level of singe-cell resolution. Several topics are well studied in this area. Several other topics are still challenging tasks for bioinformatics. This thematic issue ... read more

Demyelinating disorders, particularly multiple sclerosis represent chronic disease characterized by inflammation, demyelination, and neurodegeneration within the central nervous system. This thematic issue will present a comprehensive overview of novel therapeutic advances targeting these processes. In addition to dissecting the roles of innate versus adaptive immunity, antibody therapies, and tyrosine kinase ... read more

The thematic issue focuses on showcasing the latest developments in artificial intelligence, with a particular emphasis on machine learning (ML), deep learning (DL), and reinforcement learning (RL). It seeks to explore innovative methodologies and transformative applications that demonstrate the real-world impact of these technologies. Contributions are invited that highlight advancements ... read more