Theory Nexus

Cancer is a leading cause of death worldwide, with an estimated 9.6 million deaths in 2018. The conventional treatment of cancer involves chemotherapy, radiation therapy, and surgery, but these methods are often ineffective and have severe side effects that diminish the quality of life of cancer patients. However, recent advances in Artificial Intelligence (AI) and Immunotherapy have shown promising results in revolutionizing cancer treatment. AI has emerged as a novel tool in cancer diagnosis, prognosis, treatment, and drug discovery. In cancer diagnosis, AI-based algorithms can improve cancer detection, classification, and segmentation from medical images. AI can accurately detect abnormalities, nodules, and masses from medical images like magnetic resonance imaging (MRI) and computed tomography (CT) scans. In a study published in the journal Nature Medicine in 2018, researchers used an AI algorithm to detect breast cancer from mammograms with an accuracy rate of 94.7%, which was hi...

Introduction Addiction is a complex phenomenon that has long confounded scientists and laypeople alike. It is a multi-faceted, multi-layered condition that affects millions of people, regardless of age, race, or gender, and it is characterized by an individual's compulsive need to engage in a particular behavior, despite its negative consequences. Many scientists argue that addiction is primarily a brain disease, resulting from the complex interplay of various biological, genetic, and environmental factors. Understanding the neuroscience of addiction, therefore, requires an in-depth exploration of the mechanisms that underlie this condition, including the complex network of neural pathways that drive addiction-related behaviors and choices. In this article, we will explore the neuroscience of addiction, its underlying mechanisms, and how these mechanisms shape behaviors and choices. Drawing on the latest research in this field, we will examine the role of various neurochemicals, ne...