Advances in Molecular Medicine: Unravelling Disease Complexity and Pioneering Precision Healthcare

Bustin, Stephen A.; Jellinger, Kurt A.

doi:10.3390/ijms241814168

Cited by 14 publications

(2 citation statements)

References 17 publications

(16 reference statements)

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“…This approach can enhance treatment outcomes, minimize side effects, and contribute to the ongoing progress in the field of biomedical cancer research [ 36 ]. It can assist in the identification of specific molecular targets for therapy, helping researchers and clinicians make informed decisions about which drugs or interventions are most likely to be effective for a particular patient, ushering in a new era of precision medicine in the fight against cancer [ 37 ].…”

Section: Reviewmentioning

confidence: 99%

Artificial Intelligence Applications for Biomedical Cancer Research: A Review

Weerarathna,

Kamble,

Luharia

2023

Cureus

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Artificial intelligence (AI) has rapidly evolved and demonstrated its potential in transforming biomedical cancer research, offering innovative solutions for cancer diagnosis, treatment, and overall patient care. Over the past two decades, AI has played a pivotal role in revolutionizing various facets of cancer clinical research. In this comprehensive review, we delve into the diverse applications of AI across the cancer care continuum, encompassing radiodiagnosis, radiotherapy, chemotherapy, immunotherapy, targeted therapy, surgery, and nanotechnology. AI has revolutionized cancer diagnosis, enabling early detection and precise characterization through advanced image analysis techniques. In radiodiagnosis, AI-driven algorithms enhance the accuracy of medical imaging, making it an invaluable tool for clinicians in the detection and assessment of cancer. AI has also revolutionized radiotherapy, facilitating precise tumor boundary delineation, optimizing treatment planning, and enabling real-time adjustments to improve therapeutic outcomes while minimizing collateral damage to healthy tissues. In chemotherapy, AI models have emerged as powerful tools for predicting patient responses to different treatment regimens, allowing for more personalized and effective strategies. In immunotherapy, AI analyzes genetic and imaging data to select ideal candidates for treatment and predict responses. Targeted therapy has seen great advancements with AI, aiding in the identification of specific molecular targets for tailored treatments. AI plays a vital role in surgery by offering real-time navigation and support, enhancing surgical precision. Moreover, the synergy between AI and nanotechnology promises the development of personalized nanomedicines, offering more efficient and targeted cancer treatments. While challenges related to data quality, interpretability, and ethical considerations persist, the future of AI in cancer research holds tremendous promise for improving patient outcomes through advanced and individualized care.

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Section: Reviewmentioning

confidence: 99%

Artificial Intelligence Applications for Biomedical Cancer Research: A Review

Weerarathna,

Kamble,

Luharia

2023

Cureus

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“…However, despite the established correlation between the microbiota and health, the precise causal mechanisms remain under active investigation. Tailored interventions based on an individual's microbiota profile hold promise in healthcare, potentially yielding more precise and efficacious treatments for a spectrum of health conditions [26,27].…”

Section: Introductionmentioning

confidence: 99%

Unraveling the Microbiome–Human Body Axis: A Comprehensive Examination of Therapeutic Strategies, Interactions and Implications

Olteanu,

Ciucă-Pană,

Busnatu

et al. 2024

IJMS

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This review scrutinizes the intricate interplay between the microbiome and the human body, exploring its multifaceted dimensions and far-reaching implications. The human microbiome, comprising diverse microbial communities inhabiting various anatomical niches, is increasingly recognized as a critical determinant of human health and disease. Through an extensive examination of current research, this review elucidates the dynamic interactions between the microbiome and host physiology across multiple organ systems. Key topics include the establishment and maintenance of microbiota diversity, the influence of host factors on microbial composition, and the bidirectional communication pathways between microbiota and host cells. Furthermore, we delve into the functional implications of microbiome dysbiosis in disease states, emphasizing its role in shaping immune responses, metabolic processes, and neurological functions. Additionally, this review discusses emerging therapeutic strategies aimed at modulating the microbiome to restore host–microbe homeostasis and promote health. Microbiota fecal transplantation represents a groundbreaking therapeutic approach in the management of dysbiosis-related diseases, offering a promising avenue for restoring microbial balance within the gut ecosystem. This innovative therapy involves the transfer of fecal microbiota from a healthy donor to an individual suffering from dysbiosis, aiming to replenish beneficial microbial populations and mitigate pathological imbalances. By synthesizing findings from diverse fields, this review offers valuable insights into the complex relationship between the microbiome and the human body, highlighting avenues for future research and clinical interventions.

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Computational frameworks for zoonotic disease control in Society 5.0: opportunities, challenges and future research directions

Bag,

Sengupta

2024

AI & Soc

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Advances in Molecular Medicine: Unravelling Disease Complexity and Pioneering Precision Healthcare

Abstract: The escalating impacts of the climate crisis, zoonotic spill-over, and antibiotic resistance have positioned molecular medicine at the forefront of pioneering translational research [...]

Cited by 14 publications

References 17 publications

Artificial Intelligence Applications for Biomedical Cancer Research: A Review

Artificial Intelligence Applications for Biomedical Cancer Research: A Review

Unraveling the Microbiome–Human Body Axis: A Comprehensive Examination of Therapeutic Strategies, Interactions and Implications

Computational frameworks for zoonotic disease control in Society 5.0: opportunities, challenges and future research directions

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