Medical imaging plays a crucial role in diagnosing and treating diseases. Yet, challenges such as image quality, radiation exposure, and data scarcity often limit its effectiveness. Generative Adversarial Networks (GANs) offer promising solutions by enhancing image quality, generating realistic synthetic data, and adapting imaging modalities. This post explores how GANs transform MRI, CT, and digital pathology, highlighting key applications and innovations. Brain MRI scan enh

Introduction Cancer remains one of the most complex and urgent challenges in modern medicine. While scientific breakthroughs in genomics, targeted therapies, and immunotherapy have dramatically expanded treatment possibilities, the traditional clinical trial framework  has not always kept pace with these advances. Conventional randomised controlled trials (RCTs) are designed with fixed protocols : the sample size, treatment arms, and statistical analysis plans are determined