Cancer is one of the most dreadful causes of destruction to mankind. Many bioinformatics
investigators have applied Artificial Intelligence (AI)-based learning approaches with the aim …

The use of deep-learning-based artificial intelligence (AI) is emerging in ophthalmology, with
AI-mediated differential diagnosis of neovascular age-related macular degeneration (AMD) …

The complex mechanisms of ageing biology are increasingly understood. Interventions to
reduce or delay ageing‐associated diseases are emerging. Cancer is one of the diseases …

Although the goal of rectal cancer treatment is to restore gastrointestinal continuity, some
patients with rectal cancer develop a permanent stoma (PS) after sphincter-saving …

Background Accurate pathological diagnosis of invasion depth and histologic grade is key
for clinical management in patients with bladder cancer (BCa), but it is labour-intensive …

We introduce an effective strategy to generate an annotated synthetic dataset of
microbiological images of Petri dishes that can be used to train deep learning models in a …

Automated synthesis of histology images has several potential applications including the
development of data-efficient deep learning algorithms. In the field of computational …

Drug discovery and development (DDD) is a highly complex process that necessitates
precise monitoring and extensive data analysis at each stage. Furthermore, the DDD …

The grading of cancer tissues is still one of the main challenges for pathologists. The
development of enhanced analysis strategies hence becomes crucial to accurately identify …

Deep learning (DL) is a component or subset of artificial intelligence. DL has contributed
significant change in feature extraction and image classification. Various algorithmic models …