Random Lasing for Bimodal Imaging and Detection of Tumor DOI Creative Commons
R. Gayathri,

C. S. Suchand Sandeep,

C. Vijayan

et al.

Biosensors, Journal Year: 2023, Volume and Issue: 13(12), P. 1003 - 1003

Published: Nov. 29, 2023

The interaction of light with biological tissues is an intriguing area research that has led to the development numerous techniques and technologies. randomness inherent in can trap through multiple scattering events provide optical feedback generate random lasing emission. emerging signals carry sensitive information about dynamics medium, which help identifying abnormalities tissues, while simultaneously functioning as illumination source for imaging. early detection imaging tumor regions are crucial successful treatment cancer, one major causes mortality worldwide. In this paper, a bimodal spectroscopic system, capable polyps small 1 mm

Language: Английский

Advances in Precision Medicine Approaches for Colorectal Cancer: From Molecular Profiling to Targeted Therapies DOI Creative Commons

Neelakanta Sarvashiva Kiran,

Chandrashekar Yashaswini,

Rahul Maheshwari

et al.

ACS Pharmacology & Translational Science, Journal Year: 2024, Volume and Issue: 7(4), P. 967 - 990

Published: March 19, 2024

Precision medicine is transforming colorectal cancer treatment through the integration of advanced technologies and biomarkers, enhancing personalized effective disease management. Identification key driver mutations molecular profiling have deepened our comprehension genetic alterations in cancer, facilitating targeted therapy immunotherapy selection. Biomarkers such as microsatellite instability (MSI) DNA mismatch repair deficiency (dMMR) guide decisions, opening avenues for immunotherapy. Emerging liquid biopsies, artificial intelligence, machine learning promise to revolutionize early detection, monitoring, selection precision medicine. Despite these advancements, ethical regulatory challenges, including equitable access data privacy, emphasize importance responsible implementation. The dynamic nature with its tumor heterogeneity clonal evolution, underscores necessity adaptive strategies. future lies potential enhance patient care, clinical outcomes, understanding this intricate disease, marked by ongoing evolution field. current reviews focus on providing in-depth knowledge various diverse approaches utilized against at both biochemical levels.

Language: Английский

Citations

18
A survey on deep learning for polyp segmentation: techniques, challenges and future trends DOI Creative Commons

Jiaxin Mei,

Tao Zhou,

Kaiwen Huang

et al.

Visual Intelligence, Journal Year: 2025, Volume and Issue: 3(1)

Published: Jan. 3, 2025

Language: Английский

Citations

7
ChatGPT in Colorectal Surgery: A Promising Tool or a Passing Fad? DOI
Wenbo Li,

Yinxu Zhang,

Fengmin Chen

et al.

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(9), P. 1892 - 1897

Published: May 10, 2023

Language: Английский

Citations

38
Applicability of Online Chat-Based Artificial Intelligence Models to Colorectal Cancer Screening DOI
Joseph Atarere, Haider Naqvi, Christopher Haas

et al.

Digestive Diseases and Sciences, Journal Year: 2024, Volume and Issue: 69(3), P. 791 - 797

Published: Jan. 24, 2024

Language: Английский

Citations

17
Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine DOI Creative Commons
Kamel Jebreen, Eqbal Radwan, Wafa Kammoun Rebai

et al.

BMC Medical Education, Journal Year: 2024, Volume and Issue: 24(1)

Published: May 7, 2024

Abstract Background The current applications of artificial intelligence (AI) in medicine continue to attract the attention medical students. This study aimed identify undergraduate students’ attitudes toward AI medicine, explore present AI-related training opportunities, investigate need for inclusion curricula, and determine preferred methods teaching curricula. Methods uses a mixed-method cross-sectional design, including quantitative qualitative study, targeting Palestinian students academic year 2022–2023. In part, we recruited convenience sample from universities Palestine June 15, 2022, May 30, 2023. We collected data by using an online, well-structured, self-administered questionnaire with 49 items. 15 were interviewed trained researchers. Descriptive statistics inductive content analysis approach used analyze data, respectively. Results From total 371 invitations sent, 362 responses received (response rate = 97.5%), 349 included analysis. mean age participants was 20.38 ± 1.97, 40.11% (140) their second school. Most (268, 76.79%) did not receive formal education on before or during study. About two-thirds strongly agreed that would become common future (67.9%, 237) revolutionize fields (68.7%, 240). Participants stated they had previously acquired use (260, 74.5%), confirming dire include curricula (247, 70.8%). (264, 75.7%) think learning opportunities have been adequate; therefore, it is very important more about employing (228, 65.3%). Male (3.15 0.87) higher perception scores than female (2.81 0.86) ( p < 0.001). main themes resulted interview questions absence necessity optimism towards expected challenges related fields. Conclusion Medical lack access educational medicine; should be Palestine.

Language: Английский

Citations

15
From Crypts to Cancer: A Holistic Perspective on Colorectal Carcinogenesis and Therapeutic Strategies DOI Open Access
Ehsan Gharib, Gilles A. Robichaud

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(17), P. 9463 - 9463

Published: Aug. 30, 2024

Colorectal cancer (CRC) represents a significant global health burden, with high incidence and mortality rates worldwide. Recent progress in research highlights the distinct clinical molecular characteristics of colon versus rectal cancers, underscoring tumor location's importance treatment approaches. This article provides comprehensive review our current understanding CRC epidemiology, risk factors, pathogenesis, management strategies. We also present intricate cellular architecture colonic crypts their roles intestinal homeostasis. carcinogenesis multistep processes are described, covering conventional adenoma-carcinoma sequence, alternative serrated pathways, influential Vogelstein model, which proposes sequential

Language: Английский

Citations

11
Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook DOI Creative Commons
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: Feb. 4, 2025

Background Artificial intelligence (AI) has emerged as a transformative tool in oncology, offering promising applications chemotherapy development, cancer diagnosis, and predicting response. Despite its potential, debates persist regarding the predictive accuracy of AI technologies, particularly machine learning (ML) deep (DL). Objective This review aims to explore role forecasting outcomes related treatment response, synthesizing current advancements identifying critical gaps field. Methods A comprehensive literature search was conducted across PubMed, Embase, Web Science, Cochrane databases up 2023. Keywords included “Artificial Intelligence (AI),” “Machine Learning (ML),” “Deep (DL)” combined with “chemotherapy development,” “cancer diagnosis,” treatment.” Articles published within last four years written English were included. The Prediction Model Risk Bias Assessment utilized assess risk bias selected studies. Conclusion underscores substantial impact AI, including ML DL, on innovation, response for both solid hematological tumors. Evidence from recent studies highlights AI’s potential reduce cancer-related mortality by optimizing diagnostic accuracy, personalizing plans, improving therapeutic outcomes. Future research should focus addressing challenges clinical implementation, ethical considerations, scalability enhance integration into oncology care.

Language: Английский

Citations

2
An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images DOI Creative Commons

Majdi Khalid,

S. Deivasigamani,

V Sathiya

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 17, 2024

The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image analysis offers crucial data for the clinical diagnosis Currently, deep learning techniques are applied to enhance cancer classification and localization in histopathological analysis. Moreover, traditional might loss integrated information while evaluating thousands patches recovered from whole slide images (WSIs). This research proposes a novel detection network (CCDNet) that combines coordinate attention transformer with atrous convolution. CCDNet first denoises input using Wiener based Midpoint weighted non-local means filter (WMW-NLM) guaranteeing precise diagnoses maintain features. Also, convolution (AConvCAT) introduced, which successfully advantages two networks classify tissue at various scales by capturing local global information. Further, model Cross-shaped window (CrSWin) tiny changes multiple angles. proposed achieved accuracy rates 98.61% 98.96%, on histological NCT-CRC-HE-100 K datasets correspondingly. comparison demonstrates suggested framework performed better than advanced methods already use. In hospitals, clinicians can use verify diagnosis.

Language: Английский

Citations

8
Unraveling the complexities of colorectal cancer and its promising therapies – An updated review DOI

Sayan Saha,

Shreya Ghosh, Suman Ghosh

et al.

International Immunopharmacology, Journal Year: 2024, Volume and Issue: 143, P. 113325 - 113325

Published: Oct. 14, 2024

Language: Английский

Citations

8
Focused Ultrasound as Targeted Therapy for Colorectal Cancer: A Comprehensive Review DOI Creative Commons
Muhammad Awais Farooqi, Mahnoor Mahnoor, Kaylee Marie Delgado

et al.

Gastrointestinal Disorders, Journal Year: 2024, Volume and Issue: 6(2), P. 380 - 401

Published: April 13, 2024

Traditional cancer treatments have not significantly improved the survival rates for individuals with colorectal cancer. As a result, there is dire need to explore novel treatment modalities that can target cancer-specific niches, transform cold tumors into hot ones, and disrupt tumor niche. Therapeutic focused ultrasound, recognized its capacity induce thermal mechanical impacts on tissue, potentially eliminate cells elicit body’s anticancer reaction by disrupting microenvironment. This article provides an overview of recent developments in employing therapeutic ultrasound (TFUS) enhance natural defenses against cancers. It also discusses studies examining utility TFUS treating patients research indicating potential stimulate response various vitro vivo models. Furthermore, it explores effects immune system highlights safety effectiveness managing cancer, providing relief from pain, improving rates. Given indications may bolster augment therapy clinical preclinical models, has emerge as pivotal tool settings.

Language: Английский

Citations

7