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
- 5 Key Takeaways | The Law of the Machine (Learning): Solving Complex AI Challenges - JD Supra - September 17th, 2025 [September 17th, 2025]
- Spectral and Machine Learning Approach Enhances Efficiency of Grape Embryo Rescue | Newswise - Newswise - September 17th, 2025 [September 17th, 2025]
- Helpful Reminders for Patent Eligibility of AI, Machine Learning, and Other Software-Related Inventions - JD Supra - September 17th, 2025 [September 17th, 2025]
- Opening the black box of machine learning-controlled plasma treatments - AIP.ORG - September 17th, 2025 [September 17th, 2025]
- Post-compilation Circuit Scaling for Quantum Machine Learning Models Reveals Resource Trends and Topology Impacts - Quantum Zeitgeist - September 17th, 2025 [September 17th, 2025]
- Machine-learning tool gives doctors a more detailed 3D picture of fetal health - Medical Xpress - September 17th, 2025 [September 17th, 2025]
- Portable Electronic Nose with Machine Learning Enhances VOC Detection in Forensic Science - Chromatography Online - September 15th, 2025 [September 15th, 2025]
- Developing a predictive model for breast cancer detection using radiomics-based mammography and machine learning - SpringerOpen - September 13th, 2025 [September 13th, 2025]
- and correlation of drug solubility via hybrid machine learning and gradient based optimization - Nature - September 11th, 2025 [September 11th, 2025]
- Rice-Houston Methodist partnership uses machine learning to reveal hidden patient groups in common heart valve disease - Rice University - September 11th, 2025 [September 11th, 2025]
- Amazon Uses Machine Learning to Tell Sellers if FBA Is a Good Fit - EcommerceBytes - September 11th, 2025 [September 11th, 2025]
- Eli Lilly Launches AI, Machine Learning Platform Called TuneLab For Biotech Companies - Stocktwits - September 11th, 2025 [September 11th, 2025]
- How AI and Machine Learning are Shaping the Future of Mobile Apps - indiatechnologynews.in - September 11th, 2025 [September 11th, 2025]
- Hybrid AI and semiconductor approaches for power quality improvement - Machine Learning Week 2025 - September 9th, 2025 [September 9th, 2025]
- The Predictive Turn | Preparing to Outthink Adversaries Through Predictive Analytics - Machine Learning Week 2025 - September 9th, 2025 [September 9th, 2025]
- NFL player props, odds and bets: Week 1, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP - CBS Sports - September 9th, 2025 [September 9th, 2025]
- Can machine learning forecast Lobo EV Technologies Ltd. recovery - Bear Alert & Daily Price Action Insights - Newser - September 6th, 2025 [September 6th, 2025]
- Generalised Machine Learning Models Outperform Personalised Models For Cognitive Load Classification In Real-Life Settings - Frontiers - September 6th, 2025 [September 6th, 2025]
- Machine learning for the prediction of blood transfusion risk during or after mitral valve surgery: a multicenter retrospective cohort study - Nature - September 6th, 2025 [September 6th, 2025]
- Machine Learning-Driven Exploration of Composition- and Temperature-Dependent Transport and Thermodynamic Properties in LiF-NaF-KF Molten Salts for... - September 6th, 2025 [September 6th, 2025]
- Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer - Nature - September 6th, 2025 [September 6th, 2025]
- Identification of Postoperative Weight Loss Trajectories and Development of a Machine Learning-Based Tool for Predicting Malnutrition in Gastric... - September 6th, 2025 [September 6th, 2025]
- The Relationship Between Number of Pregnancies and Serum 25-Hydroxyvitamin D Levels in Women with a Prior Pregnancy: A Cross - Sectional Analysis,... - September 6th, 2025 [September 6th, 2025]
- Tohoku University Researchers Use Machine Learning to Identify Factors Improving Nickel-Based Catalysts for CO Methanation - geneonline.com - September 6th, 2025 [September 6th, 2025]
- Combining machine learning predictions for Galaxy Payroll Group Limited - Quarterly Growth Report & AI Forecast Swing Trade Picks - Newser - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast CLSKW recovery - 2025 Breakouts & Breakdowns & Daily Profit Maximizing Trade Tips - Newser - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast Granite Real Estate Investment Trust recovery - July 2025 Spike Watch & Growth Focused Stock Reports - Newser - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast VERU recovery - July 2025 Intraday Action & AI Forecasted Entry/Exit Points - Newser - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast VCI Global Limited recovery - Market Rally & Expert-Curated Trade Recommendations - Newser - September 5th, 2025 [September 5th, 2025]
- Combining machine learning predictions for AutoNation Inc. - Weekly Trend Summary & Weekly Breakout Watchlists - Newser - September 5th, 2025 [September 5th, 2025]
- Combining machine learning predictions for PLXS - Options Play & Fast Gain Stock Trading Tips - Newser - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast Valens Semiconductor Ltd. recovery - July 2025 Action & Free Growth Oriented Trading Recommendations - Newser - September 5th, 2025 [September 5th, 2025]
- Improve cost visibility of Machine Learning workloads on Amazon EKS with AWS Split Cost Allocation Data - Amazon Web Services - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast LFT.PRA recovery - Weekly Trade Recap & Daily Profit Maximizing Trade Tips - Newser - September 5th, 2025 [September 5th, 2025]
- Can machine learning forecast TEAM recovery - 2025 Pullback Review & Free Weekly Chart Analysis and Trade Guides - Newser - September 5th, 2025 [September 5th, 2025]
- Combining machine learning predictions for MSBIP - Weekly Profit Analysis & AI Powered Market Entry Strategies - Newser - September 5th, 2025 [September 5th, 2025]
- Revolutionizing Antibody Discovery with Machine Learning - BIOENGINEER.ORG - September 5th, 2025 [September 5th, 2025]
- The good and bad of machine learning | Letters - The Guardian - September 3rd, 2025 [September 3rd, 2025]
- I'm a machine learning engineer at Amazon who anticipated the ML boom. Here's my advice for staying ahead. - AOL.com - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for Dogwood Therapeutics Inc. - July 2025 Breakouts & Weekly Setup with High ROI Potential - Newser - September 3rd, 2025 [September 3rd, 2025]
- Phenotyping valvular heart diseases using the lens of unsupervised machine learning: a scoping review - Nature - September 3rd, 2025 [September 3rd, 2025]
- Students use machine learning to track and protect whale populations - Technology Org - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for Triller Group Inc. Equity Warrant - Gap Up & Weekly High Conviction Ideas - Newser - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for DallasNews Corporation - Quarterly Trade Report & Technical Entry and Exit Tips - Newser - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for System1 Inc. - Weekly Gains Summary & Risk Adjusted Swing Trade Ideas - Newser - September 3rd, 2025 [September 3rd, 2025]
- Unlocking the impossible without compromising on creative control: iZotope Ozone 12 adds new machine learning modules and a more musician-friendly AI... - September 3rd, 2025 [September 3rd, 2025]
- What machine learning models say about SLND.WS - Quarterly Trade Report & Technical Entry and Exit Tips - Newser - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for Chemed Corporation - Weekly Stock Recap & Growth Focused Entry Reports - Newser - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for TAP.A - Earnings Growth Report & Entry Point Confirmation Alerts - Newser - September 3rd, 2025 [September 3rd, 2025]
- Bridging known and unknown dynamics by transformer-based machine-learning inference from sparse observations - Nature - September 3rd, 2025 [September 3rd, 2025]
- Combining machine learning predictions for Inseego Corp. - July 2025 Retail & Technical Confirmation Trade Alerts - Newser - September 3rd, 2025 [September 3rd, 2025]
- Can machine learning forecast Aditxt Inc. recovery - July 2025 Update & Expert Curated Trade Ideas - Newser - September 3rd, 2025 [September 3rd, 2025]
- I'm a machine learning engineer at Amazon who anticipated the ML boom. Here's my advice for staying ahead. - Business Insider - September 1st, 2025 [September 1st, 2025]
- Machine learning climbs the Jacobs Ladder of optoelectronic properties - Nature - September 1st, 2025 [September 1st, 2025]
- Predicting factors associated with anxiety by patients undergoing treatment for infectious diseases using a random-forest machine learning approach -... - September 1st, 2025 [September 1st, 2025]
- Hideo Kojima used "an AI machine learning rig" to painstakingly download his celebrity friends to Death Stranding 2, but he wasn't happy... - September 1st, 2025 [September 1st, 2025]
- Fibro predict a machine learning risk score for advanced liver fibrosis in the general population using Israeli electronic health records - Nature - September 1st, 2025 [September 1st, 2025]
- Machine learning for preventing stillbirths: is it possible to transform data into life-saving insights? - BMC Pregnancy and Childbirth - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Kura Sushi USA Inc. recovery - 2025 Fundamental Recap & AI Based Buy and Sell Signals - Newser - September 1st, 2025 [September 1st, 2025]
- Combining machine learning predictions for China Liberal Education Holdings Limited - Weekly Profit Recap & Weekly Breakout Watchlists - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Tyson Foods Inc. recovery - 2025 Trade Ideas & Smart Swing Trading Techniques - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast GLBZ recovery - July 2025 Movers & AI Based Buy and Sell Signals - Newser - September 1st, 2025 [September 1st, 2025]
- What machine learning models say about Sypris Solutions Inc. - Market Performance Recap & Real-Time Volume Trigger Notifications - Newser - September 1st, 2025 [September 1st, 2025]
- What machine learning models say about Astria Therapeutics Inc. - July 2025 News Drivers & Real-Time Buy Signal Alerts - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast CRTO recovery - July 2025 Analyst Calls & Growth Focused Investment Plans - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Exelon Corporation recovery - Exit Point & Pattern Based Trade Signal System - Newser - September 1st, 2025 [September 1st, 2025]
- What machine learning models say about OFIX - Bond Market & Long-Term Safe Investment Plans - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Beneficient recovery - Weekly Trade Recap & Breakout Confirmation Alerts - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast BTBDW recovery - 2025 Geopolitical Influence & Weekly High Momentum Picks - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Tri Pointe Homes Inc. recovery - July 2025 WrapUp & Free Long-Term Investment Growth Plans - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast TeraWulf Inc. recovery - Market Movement Recap & Community Supported Trade Ideas - Newser - September 1st, 2025 [September 1st, 2025]
- Combining machine learning predictions for Alset Inc. - 2025 Technical Patterns & Precise Buy Zone Identification - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Exelon Corporation recovery - 2025 Bull vs Bear & Smart Allocation Stock Reports - Newser - September 1st, 2025 [September 1st, 2025]
- Can machine learning forecast Token Cat Limited Depositary Receipt recovery - 2025 Price Action Summary & Breakout Confirmation Alerts - Newser - September 1st, 2025 [September 1st, 2025]
- Combining machine learning predictions for BT Brands Inc. - Market Performance Recap & Verified Technical Trade Signals - Newser - September 1st, 2025 [September 1st, 2025]
- 7 Beginner Machine Learning Projects To Complete This Weekend - KDnuggets - August 29th, 2025 [August 29th, 2025]
- Machine learning approaches for predicting the construction time of drill-and-blast tunnels - Nature - August 29th, 2025 [August 29th, 2025]
- Combining machine learning predictions for KKR.PRD - July 2025 Closing Moves & Technical Pattern Recognition Alerts - Newser - August 29th, 2025 [August 29th, 2025]
- Leveraging data analytics to revolutionize cybersecurity with machine learning and deep learning - Nature - August 29th, 2025 [August 29th, 2025]
- Can machine learning forecast Yext Inc. recovery - Earnings Performance Report & Accurate Buy Signal Notifications - Newser - August 29th, 2025 [August 29th, 2025]