Frontiers in pancreatic cancer on biomarkers, microenvironment, and immunotherapy

Cancer Letters, Journal Year: 2024, Volume and Issue: unknown, P. 217350 - 217350

Published: Nov. 1, 2024

Pancreatic cancer remains one of the most challenging malignancies to treat due its late-stage diagnosis, aggressive progression, and high resistance existing therapies. This review examines latest advancements in early detection, therapeutic strategies, with a focus on emerging biomarkers, tumor microenvironment (TME) modulation, integration artificial intelligence (AI) data analysis. We highlight promising including microRNAs (miRNAs) circulating DNA (ctDNA), that offer enhanced sensitivity specificity for early-stage diagnosis when combined multi-omics panels. A detailed analysis TME reveals how components such as cancer-associated fibroblasts (CAFs), immune cells, extracellular matrix (ECM) contribute therapy by creating immunosuppressive barriers. also discuss interventions target these components, aiming improve drug delivery overcome evasion. Furthermore, AI-driven analyses are explored their potential interpret complex data, enabling personalized treatment strategies real-time monitoring response. conclude identifying key areas future research, clinical validation regulatory frameworks AI applications, equitable access innovative comprehensive approach underscores need integrated, outcomes pancreatic cancer.

Language: Английский

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Technology and Future of Multi-Cancer Early Detection

Life, Journal Year: 2024, Volume and Issue: 14(7), P. 833 - 833

Published: June 29, 2024

Cancer remains a significant global health challenge due to its high morbidity and mortality rates. Early detection is essential for improving patient outcomes, yet current diagnostic methods lack the sensitivity specificity needed identifying early-stage cancers. Here, we explore potential of multi-omics approaches, which integrate genomic, transcriptomic, proteomic, metabolomic data, enhance early cancer detection. We highlight challenges benefits data integration from these diverse sources discuss successful examples applications in other fields. By leveraging advanced technologies, can significantly improve diagnostics, leading better outcomes more personalized care. underscore transformative approaches revolutionizing need continued research clinical integration.

Language: Английский

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Transforming Healthcare in Low‐Resource Settings With Artificial Intelligence: Recent Developments and Outcomes

Public Health Nursing, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

ABSTRACT Background Artificial intelligence now encompasses technologies like machine learning, natural language processing, and robotics, allowing machines to undertake complex tasks traditionally done by humans. AI's application in healthcare has led advancements diagnostic tools, predictive analytics, surgical precision. Aim This comprehensive review aims explore the transformative impact of AI across diverse domains, highlighting its applications, advancements, challenges, contributions enhancing patient care. Methodology A literature search was conducted multiple databases, covering publications from 2014 2024. Keywords related applications were used gather data, focusing on studies exploring role medical specialties. Results demonstrated substantial benefits various fields medicine. In cardiology, it aids automated image interpretation, risk prediction, management cardiovascular diseases. oncology, enhances cancer detection, treatment planning, personalized drug selection. Radiology improved analysis accuracy, while critical care sees triage resource optimization. integration into pediatrics, surgery, public health, neurology, pathology, mental health similarly shown significant improvements precision, treatment, overall The implementation low‐resource settings been particularly impactful, access advanced tools treatments. Conclusion is rapidly changing industry greatly increasing accuracy diagnoses, streamlining plans, improving outcomes a variety specializations. underscores potential, early disease detection ability augment delivery, resource‐limited settings.

Language: Английский

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Development and application of novel biosensors for enhanced detection in medical diagnostics

Microchemical Journal, Journal Year: 2024, Volume and Issue: unknown, P. 111938 - 111938

Published: Oct. 1, 2024

Language: Английский

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Application of 3D, 4D, 5D, and 6D bioprinting in cancer research: what does the future look like?

Journal of Materials Chemistry B, Journal Year: 2024, Volume and Issue: 12(19), P. 4584 - 4612

Published: Jan. 1, 2024

Recent advancements pertaining to the application of 3D, 4D, 5D, and 6D bioprinting in cancer research are discussed, focusing on important challenges future perspectives.

Language: Английский

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Emerging Mechanisms and Biomarkers Associated with T-Cells and B-Cells in Autoimmune Disorders

Clinical Reviews in Allergy & Immunology, Journal Year: 2025, Volume and Issue: 68(1)

Published: Feb. 11, 2025

Language: Английский

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Increasing use of artificial intelligence in genomic medicine for cancer care- the promise and potential pitfalls

BJC Reports, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 1, 2025

The field of genomic medicine produces large datasets, which need to be rapidly analysed produce clinically actionable insights in cancer care. Artificial intelligence thrives on data, processing and learning from datasets with a degree accuracy efficiency that traditional computing algorithms can not achieve. Based patient's genome sequence, AI could allow earlier detection cancer, inform personalised treatment plans provide into prognostication. However, this valuable tool is met skepticism, stakeholders concerned over data security, liability for AI's mistakes due hallucination the threat clinical jobs. This review highlights both benefits potential problems using care, aim lessen knowledge gap between clinicians scientists facilitate future deployment

Language: Английский

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The Role of Liquid Biopsy as a Catalyst for Sustained Progress in Precision Oncology – Perspective of The Young Committee of The International Society of Liquid Biopsy

The Journal of Liquid Biopsy, Journal Year: 2024, Volume and Issue: 5, P. 100156 - 100156

Published: May 24, 2024

Language: Английский

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Thinking machines: artificial intelligence in rehabilitation and beyond

International Journal of Therapy and Rehabilitation, Journal Year: 2024, Volume and Issue: 31(10), P. 1 - 5

Published: Oct. 2, 2024

In this editorial, Massimiliano Polastri discusses the potential of artificial intelligence in healthcare.

Language: Английский

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Application of AI in detection of breast cancer with laboratory results monitoring

Bioengineering Studies, Journal Year: 2024, Volume and Issue: 5(1), P. 1 - 14

Published: July 30, 2024

Breast cancer is one of the most common types among women worldwide, therefore an early and precise process diagnostics plays important role in improving prognosis outcome treatment. The application artificial intelligence (AI) allows faster more analysis medical imaging, which contributes to detection tumors lowers number false-negative results. This review article analyzed 60 scientific papers using recent findings about this topic, searched for AI implementation breast research how may improve overall survival outcomes patients.

Language: Английский

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