Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma … – Nature.com
Sung, H. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 Countries. CA Cancer J. Clin. 71, 209249 (2021).
Article PubMed Google Scholar
Chen, S.-H., Hsiao, S.-Y., Chang, K.-Y. & Chang, J.-Y. New insights into oral squamous cell carcinoma: From clinical aspects to molecular tumorigenesis. Int J. Mol. Sci. 22, 2252 (2021).
Article CAS PubMed Central PubMed Google Scholar
Adrien, J., Bertolus, C., Gambotti, L., Mallet, A. & Baujat, B. Why are head and neck squamous cell carcinoma diagnosed so late? Influence of health care disparities and socio-economic factors. Oral Oncol. 50, 9097 (2014).
Article CAS PubMed Google Scholar
Gonzlez-Moles, M. ., Aguilar-Ruiz, M. & Ramos-Garca, P. Challenges in the early diagnosis of oral cancer, evidence gaps and strategies for improvement: A scoping review of systematic reviews. Cancers 14, 4967 (2022).
Article PubMed Central PubMed Google Scholar
Russo, D. et al. Development and validation of prognostic models for oral squamous cell carcinoma: A systematic review and appraisal of the literature. Cancers 13, 5755 (2021).
Article PubMed Central PubMed Google Scholar
Carreras-Torras, C. & Gay-Escoda, C. Techniques for early diagnosis of oral squamous cell carcinoma: Systematic review. Med. Oral. Patol. Oral. Cir. Bucal. 20, e305-315 (2015).
Article PubMed Central PubMed Google Scholar
Alabi, R. O. et al. Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future-A systematic review. Artif. Intell. Med. 115, 102060 (2021).
Article PubMed Google Scholar
Qiu L, Khormali A, & Liu K. Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction. (2023) [cited 2023 Apr 3]; https://arxiv.org/abs/2301.02383
Vale-Silva, L. A. & Rohr, K. Long-term cancer survival prediction using multimodal deep learning. Sci. Rep. 11, 13505 (2021).
Article CAS PubMed Central ADS PubMed Google Scholar
Carrillo-Perez, F. et al. Machine-learning-based late fusion on multi-omics and multi-scale data for non-small-cell lung cancer diagnosis. JPM 12, 601 (2022).
Article PubMed Central PubMed Google Scholar
Lipkova, J. et al. Artificial intelligence for multimodal data integration in oncology. Cancer Cell. 40, 10951110 (2022).
Article CAS PubMed Central PubMed Google Scholar
Steyaert, S. et al. Multimodal deep learning to predict prognosis in adult and pediatric brain tumors. Commun. Med. 3, 44 (2023).
Article PubMed Central PubMed Google Scholar
Saravi, B. et al. Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models. J. Personal. Med. 12, 509 (2022).
Article Google Scholar
Zuley, M.L., Jarosz, R., Kirk, S., Lee, Y., Colen, R., & Garcia, K., et al. The Cancer Genome Atlas Head-Neck Squamous Cell Carcinoma Collection (TCGA-HNSC), The Cancer Imaging Archive, 2016 (Accessed 3 Apr 2023); https://wiki.cancerimagingarchive.net/x/VYG0
Li, X. et al. Multi-omics analysis reveals prognostic and therapeutic value of cuproptosis-related lncRNAs in oral squamous cell carcinoma. Front. Genet. 13, 984911 (2022).
Article CAS PubMed Central PubMed Google Scholar
Zou, C. et al. Identification of immune-related risk signatures for the prognostic prediction in oral squamous cell carcinoma. J. Immunol. Res. 2021, 6203759 (2021).
Article PubMed Central PubMed Google Scholar
Macenko, M., Niethammer, M., Marron, J.S., Borland, D., Woosley, J.T., Xiaojun, G., et al. A method for normalizing histology slides for quantitative analysis. In 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009 (IEEE, accessed 4 Apr 2023]. P. 11071110. http://ieeexplore.ieee.org/document/5193250/
Vahadane, A. et al. Structure-preserving color normalization and sparse stain separation for histological images. IEEE Trans. Med. Imaging 35, 19621971 (2016).
Article PubMed Google Scholar
Salvi, M., Acharya, U. R., Molinari, F. & Meiburger, K. M. The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. Comput. Biol. Med. 128, 104129 (2021).
Article PubMed Google Scholar
Carpenter, A. E. et al. Cell Profiler: Image analysis software for identifying and quantifying cell phenotypes. Genome Biol. 7, R100 (2006).
Article PubMed Central PubMed Google Scholar
Hughey, J. J. & Butte, A. J. Robust meta-analysis of gene expression using the elastic net. Nucleic Acids Res. 43, e79 (2015).
Article PubMed Central PubMed Google Scholar
Tschodu, D. et al. Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer. Sci. Rep. 13, 16402 (2023).
Article CAS PubMed Central ADS PubMed Google Scholar
Kanehisa, M. & Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 2730 (2000).
Article CAS PubMed Central PubMed Google Scholar
Kanehisa, M. Toward understanding the origin and evolution of cellular organisms. Protein Sci. 28, 19471951 (2019).
Article CAS PubMed Central PubMed Google Scholar
Kanehisa, M., Furumichi, M., Sato, Y., Kawashima, M. & Ishiguro-Watanabe, M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51, D587D592 (2023).
Article CAS PubMed Google Scholar
Ye, H. et al. Metabolism-related bioinformatics analysis reveals that HPRT1 facilitates the progression of oral squamous cell carcinoma in vitro. J. Oncol. 2022, 116 (2022).
Google Scholar
Ferreira, A.-K. et al. Survival and prognostic factors in patients with oral squamous cell carcinoma. Med. Oral. Patol. Oral. Cir. Bucal. 26, e387e392 (2021).
Article PubMed Google Scholar
Asio, J., Kamulegeya, A. & Banura, C. Survival and associated factors among patients with oral squamous cell carcinoma (OSCC) in Mulago hospital, Kampala, Uganda. Cancers Head Neck. 3, 9 (2018).
Article PubMed Central PubMed Google Scholar
Girod, A., Mosseri, V., Jouffroy, T., Point, D. & Rodriguez, J. Women and squamous cell carcinomas of the oral cavity and oropharynx: Is there something new?. J. Oral Maxillof. Surg. 67, 19141920 (2009).
Article Google Scholar
Wong, K., Rostomily, R. & Wong, S. Prognostic gene discovery in glioblastoma patients using deep learning. Cancers 11, 53 (2019).
Article CAS PubMed Central PubMed Google Scholar
Hsich, E., Gorodeski, E. Z., Blackstone, E. H., Ishwaran, H. & Lauer, M. S. Identifying important risk factors for survival in patient with systolic heart failure using random survival forests. Circ. Cardiovasc. Qual. Outcomes 4, 3945 (2011).
Article PubMed Google Scholar
Ishwaran, H., Kogalur, U. B., Gorodeski, E. Z., Minn, A. J. & Lauer, M. S. High-dimensional variable selection for survival data. J. Am. Stat. Assoc. 105, 20517 (2010).
Article MathSciNet CAS Google Scholar
Ishwaran, H., Kogalur, U. B., Chen, X. & Minn, A. J. Random survival forests for high-dimensional data. Stat. Anal. Data Min. ASA Data Sci. J. 2011(4), 11532 (2011).
Article MathSciNet Google Scholar
Katzman, J. L. et al. Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network. BMC Med. Res. Methol. 18, 187202 (2018).
Google Scholar
Sargent, D. J. Comparison of artificial neural networks with other statistical approaches. Cancer 91, 16361642 (2001).
Article CAS PubMed Google Scholar
Xiang, A., Lapuerta, P., Ryutov, A., Buckley, J. & Azen, S. Comparison of the performance of neural network methods and Cox regression for censored survival data. Comput. Stat. Data Anal. 34, 24357 (2000).
Article Google Scholar
Nie, Z., Zhao, P., Shang, Y. & Sun, B. Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection. BMC Cancer 21, 372 (2021).
Article PubMed Central PubMed Google Scholar
Nojavanasghari, B., Gopinath, D., Koushik, J., Baltruaitis, T., & Morency, L. P. Deep multimodal fusion for persuasiveness prediction. In Proceedings of the 18th ACM International Conference on Multimodal Interaction. 284288 (2016).
Kampman, O., Barezi, E. J., Bertero, D., & Fung, P. Investigating audio, video, and text fusion methods for end-to-end automatic personality prediction. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics vol. 2.606611 (2018).
Wang, Z., Li, R., Wang, M. & Li, A. Gpdbn: Deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction. Bioinformatics 27, 29632970 (2021).
Article Google Scholar
Subramanian, V., Syeda-Mahmood, T., & Do, M. N. Multimodal fusion using sparse cca for breast cancer survival prediction. In Proceedings of IEEE 18th International Symposium on Biomedical Imaging (ISBI).14291432 (2021).
Mai, S., Hu, H., & Xing, S. Modality to modality translation: An adversarial representation learning and graph fusion network for multimodal fusion. In Proceedings of the AAAI Conference on Artificial Intelligence 164172 (2020).
Mobadersany, P. et al. Predicting cancer outcomes from histology and genomics. Predicting cancer outcomes from histology and genomics using convolutional networks. Proc. Natl. Acad. Sci. 115, 29702979 (2018).
Article ADS Google Scholar
Wang, C. et al. A cancer survival prediction method based on graph convolutional network. IEEE Trans. Nanobiosci. 19, 117126 (2020).
Article Google Scholar
Zadeh, A., Chen, M., Poria, S., Cambria, E., & Morency, L. P Tensor fusion network for multimodal sentiment analysis. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 11031114 (2017).
Chen, R. J. et al. Pathomic fusion: An integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis. IEEE Trans. Med. Imaging 41, 757770 (2022).
Article PubMed Central PubMed Google Scholar
Kim, J. H., On, K. W., Lim, W., Kim, J., Ha, J. W., & Zhang, B. T. Hadamard product for low-rank bilinear pooling. In Proceedings of International Conference on Learning Representations, 114 (2017)
Liu, Z., Shen, Y., Lakshminarasimhan, V. B., Liang, P. P., Zadeh, A., & Morency, L. P. Efficient low-rank multimodal fusion with modality-specific factors. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. 22472256 (2021)
Li, R., Wu, X., Li, A. & Wang, M. Hfbsurv: Hierarchical multimodal fusion with factorized bilinear models for cancer survival prediction. Bioinformatics 38, 25872594 (2022).
Article CAS PubMed Central PubMed Google Scholar
Original post:
Multimodal artificial intelligence-based pathogenomics improves survival prediction in oral squamous cell carcinoma ... - Nature.com
- Machine Learning Links Metabolic and Inflammatory Shifts to Age-Related Hearing Loss - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Evaluation of machine learning-based prediction of pregnancy complications and adverse birth outcomes using routine data - Nature - November 13th, 2026 [November 13th, 2026]
- Machine Learning Identifies Palmitoylation Biomarkers and Candidate Repurposed Drug in Lung Cancer - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Machine Learning Identifies Changing Predictors of Medication Experience in Schizophrenia - Bioengineer.org - November 13th, 2026 [November 13th, 2026]
- Machine Learning Predicts Nuclear Reactor Containment Seismic Demands With Explainable Models - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Explainable Machine Learning Identifies Predictive Thresholds Governing Urban Heat Island Dynamics - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Machine learning reshapes yeast enzyme to favor a stubborn aldehyde and survive heat - Bioengineer.org - November 7th, 2026 [November 7th, 2026]
- Machine learning and winter storm predictions to be the focus of Nov. 6 talk - The Pennsylvania State University - November 3rd, 2026 [November 3rd, 2026]
- Zelims ZOE Taps AI, Machine Learning to Enhance S&R Operations - Marine News Magazine - November 3rd, 2026 [November 3rd, 2026]
- From Meters to Machine Learning: Building AI-Ready Utilities in India - CSIS | Center for Strategic and International Studies - October 30th, 2026 [October 30th, 2026]
- SPINE: A machine-learning program is on the trail of ghost particles - Phys.org - October 30th, 2026 [October 30th, 2026]
- Identification of ferroptosis-related key genes influencing synovitis development in osteoarthritis based on machine learning - Nature - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations reveal how plastic transforms into hard carbon - EurekAlert! - October 30th, 2026 [October 30th, 2026]
- Machine learning predicts wastewater aeration efficiency, but only when data stay close to home - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning reveals when changing shot direction pays off in elite tennis - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning and blockchain team up to cut supply chain costs and carbon - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations uncover how plastic transforms into hard carbon - Open Access Government - October 30th, 2026 [October 30th, 2026]
- Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds - bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Kernel-Tuned Machine Learning Pushes Network Intrusion Detection Toward 99% Accuracy on Benchmark Data - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning and water quality indices reveal monsoon pollution hotspots in Odishas Baitarani River - bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine Learning Predicts ICU Deaths in PAD Patients, but Hemodynamics Add Little - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Stacked machine learning pairs ultrasound and Raman spectra to flag thyroid cancer - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine Learning and Entropy Indices Reveal Most Mahanadi Water Near Paradip Unfit to Drink - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- Machine learning simulations trace how plastic turns into hard carbon atom by atom - Bioengineer.org - October 30th, 2026 [October 30th, 2026]
- My Machine Learning Pipeline Cheated, and Cross-Validation Never Noticed - Towards Data Science - October 26th, 2026 [October 26th, 2026]
- Machine learning predicts next-year fitness assessment failure in university students - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Serrated Airfoils Reshape Stall Behavior in CFD, Wind Tunnel and Machine Learning Study - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Applications of artificial intelligence and machine learning in food processing, quality control, and food safety: a critical review - Nature - October 26th, 2026 [October 26th, 2026]
- Machine-learning simulations reveal how sodium batteries form their protective interface - Bioengineer.org - October 26th, 2026 [October 26th, 2026]
- Reimagining demand forecasting at Bayer with AI and machine learning - Supply Chain Management Review - September 28th, 2026 [September 28th, 2026]
- What Is Machine Learning Fairness? What You Need to Know - Coursera - September 28th, 2026 [September 28th, 2026]
- Howard University Hosts Machine Learning Symposium in Collaboration with Amazon Web Services - The Dig at Howard University - September 26th, 2026 [September 26th, 2026]
- Machine learning helps identify chemicals that repel honey bees from pesticides - University of California, Riverside - September 26th, 2026 [September 26th, 2026]
- Machine Learning Hunts Down Hidden Gene Switches Across the Fungal Tree of Life - Bioengineer.org - September 26th, 2026 [September 26th, 2026]
- Integrated Quantum Technologies Advances ICA Research for IEEE Secure and Trustworthy Machine Learning Conference Submission - TMX Newsfile - September 26th, 2026 [September 26th, 2026]
- I surprisingly don't hate the Logitech Blue Yeti 2's use of machine learning - Yahoo Tech - September 26th, 2026 [September 26th, 2026]
- LANDR expands AI fraud detection built with machine learning lab Mila and says artificial streams flagged by Spotify for music it distributes fell... - September 26th, 2026 [September 26th, 2026]
- University Of California Machine Learning Spots Scents Bees Avoid In Real Fields - Quantum Zeitgeist - September 26th, 2026 [September 26th, 2026]
- Inside the AI Investing Think Tank: How Machine Learning Drives Modern Financial Research - Rebellion Research - September 26th, 2026 [September 26th, 2026]
- New machine learning methods set to improve forecasts - University of Reading - September 24th, 2026 [September 24th, 2026]
- What this machine learning model boasting 65% accuracy says is coming next for the 10-year Treasury - MarketWatch - September 24th, 2026 [September 24th, 2026]
- Quantitative Investment Strategies: Institutional Architecture and Machine Learning Alpha in 2026 - Rebellion Research - September 24th, 2026 [September 24th, 2026]
- Machine learning forecasts suggest a concentration paradox in international student mobility to the United Kingdom - Nature - September 22nd, 2026 [September 22nd, 2026]
- Machine learning model distinguishes levels of psychological resilience in health care workers with 75% accuracy - Medical Xpress - September 22nd, 2026 [September 22nd, 2026]
- How Machine Learning Is Changing the Way We Inspect the Railway - Railway-News - September 22nd, 2026 [September 22nd, 2026]
- Microsoft file patent for a machine learning system that would "train" itself on your playtime to work out when you'll be least annoyed by... - September 22nd, 2026 [September 22nd, 2026]
- Quantitative Finance Conferences NYC 2026: The AI and Machine Learning Summit Guide - Rebellion Research - September 22nd, 2026 [September 22nd, 2026]
- Nanoparticle Electrode and Machine Learning Team Up to Catch Toxic Lead and Cadmium in Water - Bioengineer.org - September 22nd, 2026 [September 22nd, 2026]
- Cosmic tensions: can machine learning find a fairer story of the universe - Times of Malta - September 22nd, 2026 [September 22nd, 2026]
- Lessening the shock of defibrillation with machine learning - AIP.ORG - September 17th, 2026 [September 17th, 2026]
- Algorithmic Stock Picking: The Architecture of Machine Learning Alpha in 2026 - Rebellion Research - September 17th, 2026 [September 17th, 2026]
- Canada is pushing ahead with machine learning to improve medical diagnostics - Digital Journal - September 17th, 2026 [September 17th, 2026]
- How researchers use machine learning to re-create chirps and trills produced by forest insects when Dinos - The Times of India - September 15th, 2026 [September 15th, 2026]
- Machine Learning Reshapes Credit Scoring - Communications of the ACM - September 13th, 2026 [September 13th, 2026]
- Machine Learning With Threshold Optimization Could Help Reduce Unnecessary Appendectomies in Adults - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Information Theory Meets Machine Learning to Catch Industrial Cyberattacks - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Gets a Robustness Boost by Turning Labels into Preferences - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Meets X-Rays to Reveal the Hidden Architecture of Pea Seeds - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Predicts Which Women Will Face Early Ovarian Failure Within Three Years - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Machine Learning Cracks the Code of Nitinol Wear, a Metal That Remembers Its Shape - bioengineer.org - September 13th, 2026 [September 13th, 2026]
- Using machine learning to see how living brains learn - The University of Utah - September 8th, 2026 [September 8th, 2026]
- Applying causal machine learning to assess and improve cleantech policy design - Nature - September 8th, 2026 [September 8th, 2026]
- Frontier Tech Leaders Programme Celebrates First Machine Learning Bootcamp Graduation and AI for Sustainable Tourism Hackathon in Angola - United... - September 8th, 2026 [September 8th, 2026]
- From the Knowledge to machine learning: Wayve takes AI driving to London - IOT Insider - September 8th, 2026 [September 8th, 2026]
- Algorithm optimizes machine learning techniques that use linear, tunable resistor networks - AIP.ORG - September 2nd, 2026 [September 2nd, 2026]
- Math Modeling Seminar: Applications of Topological Data Analysis and Machine Learning Models in Predictive Biology and Drug Discovery | Events | RIT -... - September 2nd, 2026 [September 2nd, 2026]
- UC Berkeley Announces New Professional Graduate Degree in AI and Machine Learning - University of California, Berkeley - August 25th, 2026 [August 25th, 2026]
- DedeepyaYarraand the rise of Trustworthy AI: Where Machine Learning meets cybersecurity - India.com - August 25th, 2026 [August 25th, 2026]
- Machine learning smooths the road from idea to real-world climate impact - EurekAlert! - August 18th, 2026 [August 18th, 2026]
- Chris Latham Interviews Henry Zelikovsky, Founder & CEO of Softlab360: Successful Applications of AI/Machine Learning in Wealth Management -... - August 18th, 2026 [August 18th, 2026]
- Integrated data and machine learning transform lung cancer diagnosis and treatment - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Machine learning accelerates climate solutions from ideas to real-world impact - Bioengineer.org - August 18th, 2026 [August 18th, 2026]
- Identification of weight loss predictors using machine learning approaches in adolescents with obesity - Nature - August 16th, 2026 [August 16th, 2026]
- Quantitative Hedge Fund Strategies: The Machine Learning Revolution of 2026 - rebellionresearch.com - August 16th, 2026 [August 16th, 2026]
- Healthcare Machine Learning Hits Production Scale as Governance Falls Behind, Black Book's Fourth Annual Report Finds - bhpioneer.com - August 16th, 2026 [August 16th, 2026]
- Machine Learning Identifies Predictors of Weight Loss in Adolescents With Obesity - Bioengineer.org - August 16th, 2026 [August 16th, 2026]
- How AI is changing hurricane forecasting as scientists track storms with machine learning - Gulf Coast News and Weather - August 12th, 2026 [August 12th, 2026]
- Scalable prediction of suicidal risk in university students: a three steps machine learning approach in university settings - Nature - August 12th, 2026 [August 12th, 2026]
- Identification of critical brain regions for young adults with obesity and their relationships with impulsivity using machine learning based on... - August 12th, 2026 [August 12th, 2026]
- UNIVERSITY OF ALBERTA Drones and machine learning team up to map forest soil health - Education News Canada - August 12th, 2026 [August 12th, 2026]