A nested model for AI design and validation.

The growing AI field faces trust, transparency, fairness, and discrimination challenges. Despite the need for new regulations, there is a mismatch between regulatory science and AI, preventing a consistent framework. A five-layer nested model for AI design and validation aims to address these issues and streamline AI application design and validation, improving fairness, trust, and AI adoption.

Breast Cancer and the Brain: A Comprehensive Review of Neurological Complications.

Breast cancer, one of the most prevalent malignancies globally, poses a substantial health burden with its diverse neurological complications. This comprehensive review examines the intricate landscape of breast cancer's neurological effects, encompassing brain metastases, non-metastatic complications, and their profound influence on the quality of life, prognosis, and survival of affected individuals. The mechanisms, clinical manifestations, and treatment modalities of brain metastasis and the critical role of interdisciplinary collaboration in their management are explored.

Detecting bots in social-networks using node and structural embeddings.

Users on social networks such as Twitter interact with each other without much knowledge of the real-identity behind the accounts they interact with. This anonymity has created a perfect environment for bot accounts to influence the network by mimicking real-user behaviour. Although not all bot accounts have malicious intent, identifying bot accounts in general is an important and difficult task.