A5001303284- Head and Neck Cancer Studies
- Oral Health Pathology and Treatment
- RNA modifications and cancer
- Cancer-related gene regulation
- Cancer Cells and Metastasis
- AI in cancer detection
- Epigenetics and DNA Methylation
- Cancer-related molecular mechanisms research
- Molecular Biology Techniques and Applications
- HER2/EGFR in Cancer Research
- Curcumin's Biomedical Applications
- Cancer, Hypoxia, and Metabolism
- COVID-19 diagnosis using AI
- Gene expression and cancer classification
- Cancer-related Molecular Pathways
- Proteoglycans and glycosaminoglycans research
- Cancer Diagnosis and Treatment
- RNA Research and Splicing
- Natural product bioactivities and synthesis
- Cancer Research and Treatments
- Glycosylation and Glycoproteins Research
- Dental Research and COVID-19
- Oral health in cancer treatment
- Oral microbiology and periodontitis research
- Cervical Cancer and HPV Research
Mazumdar Shaw Medical Centre
2015-2025
Mazumdar Shaw Medical Foundation
2016-2025
Narayana Health
2015-2025
Manipal Academy of Higher Education
2022-2025
Roswell Park Comprehensive Cancer Center
2013-2024
Institute of Medical Sciences
2024
Central University of Kerala
2024
Amrita Vishwa Vidyapeetham
2020-2024
National Institute of Technology Tiruchirappalli
2022
Amrita Institute of Medical Sciences and Research Centre
2016
Oral cancer is a growing health issue in number of low- and middle-income countries (LMIC), particularly South Southeast Asia. The described dual-modality, dual-view, point-of-care oral screening device, developed for high-risk populations remote regions with limited infrastructure, implements autofluorescence imaging (AFI) white light (WLI) on smartphone platform, enabling early detection pre-cancerous cancerous lesions the cavity potential to reduce morbidity, mortality, overall healthcare...
With the goal to screen high-risk populations for oral cancer in low- and middle-income countries (LMICs), we have developed a low-cost, portable, easy use smartphone-based intraoral dual-modality imaging platform. In this paper present an image classification approach based on autofluorescence white light images using deep learning methods. The information from pair is extracted, calculated, fused feed neural networks. We investigated compared performance of different convolutional...
Significance: Convolutional neural networks (CNNs) show the potential for automated classification of different cancer lesions. However, their lack interpretability and explainability makes CNNs less than understandable. Furthermore, may incorrectly concentrate on other areas surrounding salient object, rather network’s attention focusing directly object to be recognized, as network has no incentive focus solely correct subjects detected. This inhibits reliability CNNs, especially biomedical...
Abstract Oral leukoplakia is a potentially malignant lesion of the oral cavity, for which no effective treatment available. We investigated effectiveness curcumin, potent inhibitor NF-κB/COX-2, molecules perturbed in carcinogenesis, to treat leukoplakia. Subjects with (n = 223) were randomized (1:1 ratio) receive orally, either 3.6 g/day curcumin 111) or placebo 112), 6 months. The primary endpoint was clinical response obtained by bi-dimensional measurement size at recruitment and...
Chemoresistance leading to disease relapse is one of the major challenges improve outcome in head and neck cancers. Cancer Stem Cells (CSCs) are increasingly being implicated chemotherapy resistance, this study investigates correlation between CSC behavior acquired drug resistance vitro cell line models. Cell lines resistant Cisplatin (Cal-27 CisR, Hep-2 CisR) 5FU 5FUR) with high Resistance Indices (RI) were generated (RI ≥ 3) by short-term treatment squamous carcinoma (HNSCC)...
Early detection of oral cancer necessitates a minimally invasive, tissue-specific diagnostic tool that facilitates screening/surveillance. Brush biopsy, though demands skilled cyto-pathologist expertise. In this study, we explored the clinical utility/efficacy tele-cytology system in combination with Artificial Neural Network (ANN) based risk-stratification model for early potentially malignant (OPML)/malignant lesion. A portable, automated tablet-based platform capable digitization cytology...
Oral cancer is the most common type of among men in India and other countries South Asia. Late diagnosis contributes significantly to this mortality, highlighting need for effective specific point-of-care diagnostic tools. The same regions with high prevalence oral have seen extensive growth mobile phone infrastructure, which enables widespread access telemedicine services. In work, we describe evaluation an automated tablet-based microscope as adjunct telemedicine-based screening India....
Effective chemoprevention is critical for improving outcomes of oral cancer. As single agents, curcumin and metformin are reported to exhibit chemopreventive properties, in vitro as well patients with In this study, the efficacy drug combination was tested a 4-nitro quinoline-1-oxide (4NQO) induced mice carcinogenesis model. Molecular analysis revealed cancer stem cell (CSC)-driven carcinogenic progression model, wherein progressive increase expression CSC-specific markers (CD44 CD133)...
Non-invasive strategies that can identify oral malignant and dysplastic potentially-malignant lesions (OPML) are necessary in cancer screening long-term surveillance. Optical coherence tomography (OCT) be a rapid, real time non-invasive imaging method for frequent patient Here, we report the validation of portable, robust OCT device 232 patients (lesions: 347) different clinical settings. The deployed with algorithm-based automated diagnosis, showed efficacy delineation benign normal (n =...
Abstract Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy Convolutional-Neural-Network (CNN) enabled m(mobile)-Health device deployed with FHWs for delineation suspicious lesions (malignant/potentially-malignant disorders). The effectiveness tested tertiary-care hospitals and India. subjects were screened independently, either by alone or along...
The EGFR and TGFβ signaling pathways are important mediators of tumorigenesis, cross-talk between them contributes to cancer progression drug resistance. Therapies capable simultaneously targeting could help improve patient outcomes across various types. Here, we developed BCA101, an anti-EGFR IgG1 mAb linked extracellular domain human TGFβRII. "trap" fused the light chain in BCA101 did not sterically interfere with its ability bind EGFR, inhibit cell proliferation, or mediate...
Significance: Oral cancer is among the most common cancers globally, especially in low- and middle-income countries. Early detection effective way to reduce mortality rate. Deep learning-based image classification models usually need be hosted on a computing server. However, internet connection unreliable for screening low-resource settings. Aim: To develop mobile-based dual-mode method customized Android application point-of-care oral detection. Approach: The dataset used our study was...
In medical imaging, deep learning-based solutions have achieved state-of-the-art performance. However, reliability restricts the integration of learning into practical workflows since conventional frameworks cannot quantitatively assess model uncertainty. this work, we propose to address shortcoming by utilizing a Bayesian network capable estimating uncertainty oral cancer image classification reliability. We evaluate using large intraoral cheek mucosa dataset captured our customized device...