Category: Medicine

Primary Cardiac Sarcoma: Diagnostic Challenges, Treatment Limitations and the Future Role of AI

This article provides an overview for primary cardiac sarcoma in regards to diagnostics, treatments and the use of artificial intelligence (AI) as a possible tool. It argues that AI can be utilised to aid with individualised treatment, ultimately improving prognosis and patient outcomes.

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The Epigenetic Relation Between Substance Abuse and Mental Health Disorders

This review examines how alcohol and opioids modify the epigenome in key brain regions, contributing to anxiety, depression, post-traumatic stress disorder and addiction vulnerability. It also summarises evidence from animal and human studies demonstrating that these epigenetic alterations can be transmitted across generations.

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The Potential of Epigenetic Engineering to Prevent Age-Related Cancers

This paper explores how errors in the age-related epigenomes cause gene mutations, stem-cell exhaustion and malignant transformations, contributing to the development of cancer. It investigates emerging technologies, such as CRISPR-based epigenome editing, and their potential to reduce cancer risk before it begins.

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Balancing Artificial Intelligence and Ethics in Breast Cancer

Artificial intelligence is rapidly emerging as a transformative tool in breast cancer care, with applications ranging from mammogram interpretation to risk stratification and clinical decision support. While these technologies hold considerable promise, their integration into healthcare raises ethical issues. This paper examines four critical regions of this implementation: ethical guidelines, data privacy, responsibility and accessibility.

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Radiologist and AI Cohesiveness: Mitigating Bias

Artificial intelligence has become a revolutionary tool in breast cancer screening, particularly by enabling computer-assisted detection in mammography to help doctors confirm a diagnosis. However, it is susceptible to multiple biases that can compromise patient care. This article reviews these bias types, their impact and effective ways to reduce them and improve reliability.

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