Cancer is a worldwide epidemic that has increasingly caused 19.3 million new cancer cases and almost 10 million cancer-related deaths globally in 2020 at an unprecedented burden on healthcare systems. The existing methods of diagnosis and treatment are often associated with late diagnoses and ineffective results, which causes the necessity to develop new, evidence-based approaches as soon as possible. Machine learning and big data can provide radical opportunities in predictive analytics, which will optimize early detection and treatment of cancer. The paper explores the combination of ML models, such as logistic regression, random forests, support vectors machines and deep neural networks, with various big data sources, including electronic health records, genomic sequencing, medical imaging, and wearable devices. The research uses highly sophisticated analytics tools, including Python, Power BI, and Tableau, to show how predictive models can be used to enhance the accuracy of diagnostic tests and save money and individualized treatment plans. The methodology uses secondary datasets (e.g., SEER, TCGA) to develop and validate the model, and the performance is evaluated using the metrics of sensitivity, specificity, and ROC-AUC. The results indicate that predictive analytics does not only increase the rates of early detection of various types of cancer that include breast, lung, and colorectal but also improves clinical decision-making by establishing personalized treatment routes. This work has the novelty of being both algorithmic performance-focused and big data integration-focused and visualized in a clinician-friendly manner. Finally, the research contributes to the discussion on predictive oncology because it identifies the potential of the existing strategies and clarifies their restrictions, as well as providing evidence-based suggestions on how healthcare organizations, policy makers and clinicians can implement predictive analytics into their cancer care delivery mechanisms.

Cancer care, Predictive analytics, Machine learning, Early detection

Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209-249.

Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646-674.

Obermeyer Z, Emanuel EJ. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016;375(13):1216-1219.

Shah NH, Milstein A, Bagley SC. Making Machine Learning Models Clinically Useful. JAMA. 2019;322(14):1351-1352.

Rumsfeld JS, Joynt KE, Maddox TM. Big data analytics to improve cardiovascular care: promise and challenges. Nat Rev Cardiol. 2016;13(6):350-359.

Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56.

Deo RC. Machine Learning in Medicine. Circulation. 2015;132(20):1920-1930.

Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017;542(7639):115-118.

McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020;577(7788):89-94.

Ardila D, Kiraly AP, Bharadwaj S, et al. End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography. Nat Med. 2019;25(6):954-961.

Cha YJ, Jang WI, Kim MS, et al. Deep Learning-based Automatic Detection of Brain Metastases in T1-weighted Construct-Enhanced MRI: A Systematic Review and Meta-Analysis. Neuro Oncol. 2023;25(9):1579-1591.

Pavlou M, Ambler G, Seaman SR, et al. How to develop a more accurate risk prediction model when there are few events. BMJ. 2015;351:h3868.

Chen T, Guestrin C. XGBoost: A Scalable Tree Boosting System. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016:785-794.

Statnikov A, Aliferis CF, Tsamardinos I, Hardin D, Levy S. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics. 2005;21(5):631-643.

Coudray N, Ocampo PS, Sakellaropoulos T, et al. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat Med. 2018;24(10):1559-1567.

Weinstein JN, Collisson EA, Mills GB, et al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet. 2013;45(10):1113-1120.

Bao ZS, Chen HM, Yang MY, et al. RNA-seq of 272 gliomas revealed a novel, recurrent PTPRZ1-MET fusion transcript in secondary glioblastomas. Genome Res. 2014;24(11):1765-1773.

The Cancer Genome Atlas Research Network. Integrated genomic analyses of ovarian carcinoma. Nature. 2011;474(7353):609-615.

Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309(13):1351-1352.

Tomczak K, Czerwińska P, Wiznerowicz M. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge. Contemp Oncol (Pozn). 2015;19(1A):A68-A77.

Hudson TJ, Anderson W, Artez A, et al. International network of cancer genome projects. Nature. 2010;464(7291):993-998.

Hinton G. Deep Learning—A Technology With the Potential to Transform Health Care. JAMA. 2018;320(11):1101-1102.

Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2016;278(2):563-577.

Aerts HJ, Velazquez ER, Leijenaar RT, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006.

Kumar V, Gu Y, Basu S, et al. Radiomics: the process and the challenges. Magn Reson Imaging. 2012;30(9):1234-1248.

Jensen PB, Jensen LJ, Brunak S. Mining electronic health records: towards better research applications and clinical care. Nat Rev Genet. 2012;13(6):395-405.

Little RJ, D'Agostino R, Cohen ML, et al. The prevention and treatment of missing data in clinical trials. N Engl J Med. 2012;367(14):1355-1360.

Beam AL, Kohane IS. Big Data and Machine Learning in Health Care. JAMA. 2018;319(13):1317-1318.

Castelvecchi D. Can we open the black box of AI? Nature. 2016;538(7623):20-23.

Adlung L, Cohen Y, Mor U, Elinav E. Machine learning in clinical decision making. Med. 2021;2(6):642-665.

Lundberg SM, Lee SI. A Unified Approach to Interpreting Model Predictions. In: Advances in Neural Information Processing Systems. 2017:4765-4774.

Ribeiro MT, Singh S, Guestrin C. "Why Should I Trust You?": Explaining the Predictions of Any Classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016:1135-1144.

Sidey-Gibbons JAM, Sidey-Gibbons CJ. Machine learning in medicine: a practical introduction. BMC Med Res Methodol. 2019;19(1):64.

Sarikaya A, Correll M, Bartram L, Tory M, Fisher D. What Do We Talk About When We Talk About Dashboards? IEEE Trans Vis Comput Graph. 2019;25(1):682-692.

Wiens J, Saria S, Sendak M, et al. Do no harm: a roadmap for responsible machine learning for health care. Nat Med. 2019;25(9):1337-1340.

Price WN, Cohen IG. Privacy in the age of medical big data. Nat Med. 2019;25(1):37-43.

Parikh RB, Teeple S, Navathe AS. Addressing Bias in Artificial Intelligence in Health Care. JAMA. 2019;322(24):2377-2378.

Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447-453.

Mehrabi N, Morstatter F, Saxena N, Lerman K, Galstyan A. A Survey on Bias and Fairness in Machine Learning. ACM Comput Surv. 2021;54(6):1-35.

Sheller MJ, Reina GA, Edwards B, Martin J, Bakas S. Multi-institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer International Publishing; 2019:92-104.

Liu Y, Chen PC, Krause J, Peng L. How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature. JAMA. 2019;322(18):1806-1816.

Rajkomar A, Dean J, Kohane I. Machine Learning in Medicine. N Engl J Med. 2019;380(14):1347-1358.

Ching T, Himmelstein DS, Beaulieu-Jones BK, et al. Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. 2018;15(141):20170387.

Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology. Nat Rev Clin Oncol. 2019;16(11):703-715.

Norgeot B, Glicksberg BS, Trupin L, et al. Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis. JAMA Netw Open. 2019;2(3):e190606.

Gulshan V, Peng L, Coram M, et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA. 2016;316(22):2402-2410.

Libbrecht MW, Noble WS. Machine learning applications in genetics and genomics. Nat Rev Genet. 2015;16(6):321-332.

Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI. Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol J. 2015;13:8-17.

Esteva A, Robicquet A, Ramsundar B, et al. A guide to deep learning in healthcare. Nat Med. 2021;27(1):24-29.

Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-731.

Artificial Intelligence and Machine Learning as Business Tools: A Framework for Diagnosing Value Destruction Potential - Md Nadil Khan, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Nahid Khan, Ashequr Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.23680

Enhancing Business Sustainability Through the Internet of Things - MD Nadil Khan, Zahidur Rahman, Sufi Sudruddin Chowdhury, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Md Didear Hossen, Nahid Khan, Hamdadur Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.24118

Real-Time Environmental Monitoring Using Low-Cost Sensors in Smart Cities with IoT - MD Nadil Khan, Zahidur Rahman, Sufi Sudruddin Chowdhury, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Md Didear Hossen, Nahid Khan, Hamdadur Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.23163

The Internet of Things (IoT): Applications, Investments, and Challenges for Enterprises - Md Nadil Khan, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Nahid Khan, Ashequr Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.22699

Real-Time Health Monitoring with IoT - MD Nadil Khan, Zahidur Rahman, Sufi Sudruddin Chowdhury, Tanvirahmedshuvo, Md Risalat Hossain Ontor, Md Didear Hossen, Nahid Khan, Hamdadur Rahman - IJFMR Volume 6, Issue 1, January-February 2024. https://doi.org/10.36948/ijfmr.2024.v06i01.22751

Strategic Adaptation to Environmental Volatility: Evaluating the Long-Term Outcomes of Business Model Innovation - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1079

Evaluating the Impact of Business Intelligence Tools on Outcomes and Efficiency Across Business Sectors - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1080

Analyzing the Impact of Data Analytics on Performance Metrics in SMEs - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1081

The Evolution of Artificial Intelligence and its Impact on Economic Paradigms in the USA and Globally - MD Nadil khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1083

Exploring the Impact of FinTech Innovations on the U.S. and Global Economies - MD Nadil Khan, Shariful Haque, Kazi Sanwarul Azim, Khaled Al-Samad, A H M Jafor, Md. Aziz, Omar Faruq, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1082

Business Innovations in Healthcare: Emerging Models for Sustainable Growth - MD Nadil khan, Zakir Hossain, Sufi Sudruddin Chowdhury, Md. Sohel Rana, Abrar Hossain, MD Habibullah Faisal, SK Ayub Al Wahid, MD Nuruzzaman Pranto - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1093

The Impact of Economic Policy Changes on International Trade and Relations - Kazi Sanwarul Azim, A H M Jafor, Mir Abrar Hossain, Azher Uddin Shayed, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1098

Privacy and Security Challenges in IoT Deployments - Obyed Ullah Khan, Kazi Sanwarul Azim, A H M Jafor, Azher Uddin Shayed, Mir Abrar Hossain, Nabila Ahmed Nikita - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1099

Digital Transformation in Non-Profit Organizations: Strategies, Challenges, and Successes - Nabila Ahmed Nikita, Kazi Sanwarul Azim, A H M Jafor, Azher Uddin Shayed, Mir Abrar Hossain, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1097

AI and Machine Learning in International Diplomacy and Conflict Resolution - Mir Abrar Hossain, Kazi Sanwarul Azim, A H M Jafor, Azher Uddin Shayed, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1095

The Evolution of Cloud Computing & 5G Infrastructure and its Economical Impact in the Global Telecommunication Industry - A H M Jafor, Kazi Sanwarul Azim, Mir Abrar Hossain, Azher Uddin Shayed, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1100

Leveraging Blockchain for Transparent and Efficient Supply Chain Management: Business Implications and Case Studies - Ankur Sarkar, S A Mohaiminul Islam, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28492

AI-driven Predictive Analytics for Enhancing Cybersecurity in a Post-pandemic World: a Business Strategy Approach - S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28493

The Role of Edge Computing in Driving Real-time Personalized Marketing: a Data-driven Business Perspective - Rakesh Paul, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28494

Circular Economy Models in Renewable Energy: Technological Innovations and Business Viability - Md Shadikul Bari, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Tariqul Islam, Rakesh Paul - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28495

Artificial Intelligence in Fraud Detection and Financial Risk Mitigation: Future Directions and Business Applications - Tariqul Islam, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28496

The Integration of AI and Machine Learning in Supply Chain Optimization: Enhancing Efficiency and Reducing Costs - Syed Kamrul Hasan, MD Ariful Islam, Ayesha Islam Asha, Shaya afrin Priya, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28075

Cybersecurity in the Age of IoT: Business Strategies for Managing Emerging Threats - Nishat Margia Islam, Syed Kamrul Hasan, MD Ariful Islam, Ayesha Islam Asha, Shaya Afrin Priya - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28076

The Role of Big Data Analytics in Personalized Marketing: Enhancing Consumer Engagement and Business Outcomes - Ayesha Islam Asha, Syed Kamrul Hasan, MD Ariful Islam, Shaya afrin Priya, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28077

Sustainable Innovation in Renewable Energy: Business Models and Technological Advances - Shaya Afrin Priya, Syed Kamrul Hasan, Md Ariful Islam, Ayesha Islam Asha, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28079

The Impact of Quantum Computing on Financial Risk Management: A Business Perspective - Md Ariful Islam, Syed Kamrul Hasan, Shaya Afrin Priya, Ayesha Islam Asha, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. https://doi.org/10.36948/ijfmr.2024.v06i05.28080

AI-driven Predictive Analytics, Healthcare Outcomes, Cost Reduction, Machine Learning, Patient Monitoring - Sarowar Hossain, Ahasan Ahmed, Umesh Khadka, Shifa Sarkar, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/ 10.62127/aijmr.2024.v02i05.1104

Blockchain in Supply Chain Management: Enhancing Transparency, Efficiency, and Trust - Nahid Khan, Sarowar Hossain, Umesh Khadka, Shifa Sarkar - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1105

Cyber-Physical Systems and IoT: Transforming Smart Cities for Sustainable Development - Umesh Khadka, Sarowar Hossain, Shifa Sarkar, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.110 6

Quantum Machine Learning for Advanced Data Processing in Business Analytics: A Path Toward Next-Generation Solutions - Shifa Sarkar, Umesh Khadka, Sarowar Hossain, Nahid Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1107

Optimizing Business Operations through Edge Computing: Advancements in Real-Time Data Processing for the Big Data Era - Nahid Khan, Sarowar Hossain, Umesh Khadka, Shifa Sarkar - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1108

Data Science Techniques for Predictive Analytics in Financial Services - Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1085

Leveraging IoT for Enhanced Supply Chain Management in Manufacturing - Khaled AlSamad, Mohammad Abu Sufian, Shariful Haque, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1087 33

AI-Driven Strategies for Enhancing Non-Profit Organizational Impact - Omar Faruq, Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i0.1088

Sustainable Business Practices for Economic Instability: A Data-Driven Approach - Azher Uddin Shayed, Kazi Sanwarul Azim, A H M Jafor, Mir Abrar Hossain, Nabila Ahmed Nikita, Obyed Ullah Khan - AIJMR Volume 2, Issue 5, September-October 2024. https://doi.org/10.62127/aijmr.2024.v02i05.1095

Mohammad Majharul Islam, MD Nadil khan, Kirtibhai Desai, MD Mahbub Rabbani, Saif Ahmad, & Esrat Zahan Snigdha. (2025). AI-Powered Business Intelligence in IT: Transforming Data into Strategic Solutions for Enhanced Decision-Making. The American Journal of Engineering and Technology, 7(02), 59–73. https://doi.org/10.37547/tajet/Volume07Issue02-09.

Saif Ahmad, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, & Esrat Zahan Snigdha. (2025). Optimizing IT Service Delivery with AI: Enhancing Efficiency Through Predictive Analytics and Intelligent Automation. The American Journal of Engineering and Technology, 7(02), 44–58. https://doi.org/10.37547/tajet/Volume07Issue02-08.

Esrat Zahan Snigdha, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, MD Mahbub Rabbani, & Saif Ahmad. (2025). AI-Driven Customer Insights in IT Services: A Framework for Personalization and Scalable Solutions. The American Journal of Engineering and Technology, 7(03), 35–49. https://doi.org/10.37547/tajet/Volume07Issue03-04.

MD Mahbub Rabbani, MD Nadil khan, Kirtibhai Desai, Mohammad Majharul Islam, Saif Ahmad, & Esrat Zahan Snigdha. (2025). Human-AI Collaboration in IT Systems Design: A Comprehensive Framework for Intelligent Co-Creation. The American Journal of Engineering and Technology, 7(03), 50–68. https://doi.org/10.37547/tajet/Volume07Issue03-05.

Kirtibhai Desai, MD Nadil khan, Mohammad Majharul Islam, MD Mahbub Rabbani, Saif Ahmad, & Esrat Zahan Snigdha. (2025). Sentiment analysis with ai for it service enhancement: leveraging user feedback for adaptive it solutions. The American Journal of Engineering and Technology, 7(03), 69–87. https://doi.org/10.37547/tajet/Volume07Issue03-06.

Mohammad Tonmoy Jubaear Mehedy, Muhammad Saqib Jalil, MahamSaeed, Abdullah al mamun, Esrat Zahan Snigdha, MD Nadil khan, NahidKhan, & MD Mohaiminul Hasan. (2025). Big Data and Machine Learning inHealthcare: A Business Intelligence Approach for Cost Optimization andService Improvement. The American Journal of Medical Sciences andPharmaceutical Research, 115–135.https://doi.org/10.37547/tajmspr/Volume07Issue0314.

92. Maham Saeed, Muhammad Saqib Jalil, Fares Mohammed Dahwal, Mohammad Tonmoy Jubaear Mehedy, Esrat Zahan Snigdha, Abdullah al mamun, & MD Nadil khan. (2025). The Impact of AI on Healthcare Workforce Management: Business Strategies for Talent Optimization and IT Integration. The American Journal of Medical Sciences and Pharmaceutical Research, 7(03), 136–156. https://doi.org/10.37547/tajmspr/Volume07Issue03-15.

Muhammad Saqib Jalil, Esrat Zahan Snigdha, Mohammad Tonmoy Jubaear Mehedy, Maham Saeed, Abdullah al mamun, MD Nadil khan, & Nahid Khan. (2025). AI-Powered Predictive Analytics in Healthcare Business: Enhancing OperationalEfficiency and Patient Outcomes. The American Journal of Medical Sciences and Pharmaceutical Research, 93–114. https://doi.org/10.37547/tajmspr/Volume07Issue03-13.

Esrat Zahan Snigdha, Muhammad Saqib Jalil, Fares Mohammed Dahwal, Maham Saeed, Mohammad Tonmoy Jubaear Mehedy, Abdullah al mamun, MD Nadil khan, & Syed Kamrul Hasan. (2025). Cybersecurity in Healthcare IT Systems: Business Risk Management and Data Privacy Strategies. The American Journal of Engineering and Technology, 163–184. https://doi.org/10.37547/tajet/Volume07Issue03-15.

Abdullah al mamun, Muhammad Saqib Jalil, Mohammad Tonmoy Jubaear Mehedy, Maham Saeed, Esrat Zahan Snigdha, MD Nadil khan, & Nahid Khan. (2025). Optimizing Revenue Cycle Management in Healthcare: AI and IT Solutions for Business Process Automation. The American Journal of Engineering and Technology, 141–162. https://doi.org/10.37547/tajet/Volume07Issue03-14.

Hasan, M. M., Mirza, J. B., Paul, R., Hasan, M. R., Hassan, A., Khan, M. N., & Islam, M. A. (2025). Human-AI Collaboration in Software Design: A Framework for Efficient Co Creation. AIJMR-Advanced International Journal of Multidisciplinary Research, 3(1). DOI: 10.62127/aijmr.2025.v03i01.1125

Mohammad Tonmoy Jubaear Mehedy, Muhammad Saqib Jalil, Maham Saeed, Esrat Zahan Snigdha, Nahid Khan, MD Mohaiminul Hasan.The American Journal of Medical Sciences and Pharmaceutical Research, 7(3). 115-135.https://doi.org/10.37547/tajmspr/Volume07Issue03-14.

Junaid Baig Mirza, MD Mohaiminul Hasan, Rajesh Paul, Mohammad Rakibul Hasan, Ayesha Islam Asha. AIJMR-Advanced International Journal of Multidisciplinary Research, Volume 3, Issue 1, January-February 2025 .DOI: 10.62127/aijmr.2025.v03i01.1123.

Mohammad Rakibul Hasan, MD Mohaiminul Hasan, Junaid Baig Mirza, Ali Hassan, Rajesh Paul, MD Nadil Khan, Nabila Ahmed Nikita.AIJMR-Advanced International Journal of Multidisciplinary Research, Volume 3, Issue 1, January-February 2025 .DOI: 10.62127/aijmr.2025.v03i01.1124.

Gazi Mohammad Moinul Haque, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, & Yeasin Arafat. (2025). Cybersecurity Risk Management in the Age of Digital Transformation: A Systematic Literature Review. The American Journal of Engineering and Technology, 7(8), 126–150. https://doi.org/10.37547/tajet/Volume07Issue08-14

Yaseen Shareef Mohammed, Dhiraj Kumar Akula, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Impact of Artificial Intelligence on Information Systems: Opportunities and Challenges. The American Journalof Engineering and Technology, 7(8), 151–176. https://doi.org/10.37547/tajet/Volume07Issue08-15

Yeasin Arafat, Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Gazi Mohammad Moinul Haque, Mahzabin Binte Rahman, & Asif Syed. (2025). Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS. The American Journal of Engineering and Technology, 7(8), 177–201. https://doi.org/10.37547/tajet/Volume07Issue08-16

Dhiraj Kumar Akula, Yaseen Shareef Mohammed, Asif Syed, Gazi Mohammad Moinul Haque, & Yeasin Arafat. (2025). The Role of Information Systems in Enhancing Strategic Decision Making: A Review and Future Directions. The American Journal of Management and Economics Innovations, 7(8), 80–105. https://doi.org/10.37547/tajmei/Volume07Issue08-07

Dhiraj Kumar Akula, Kazi Sanwarul Azim, Yaseen Shareef Mohammed, Asif Syed, & Gazi Mohammad Moinul Haque. (2025). Enterprise Architecture: Enabler of Organizational Agility and Digital Transformation. The American Journalof Management and Economics Innovations, 7(8), 54–79. https://doi.org/10.37547/tajmei/Volume07Issue08-06

Suresh Shivram Panchal, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Yogesh Sharad Ahirrao. (2025). Cyber Risk And Business Resilience: A Financial Perspective On IT Security Investment Decisions. The American Journal of Engineering and Technology, 7(09), 23–48.https://doi.org/10.37547/tajet/Volume07Issue09-04

Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Fintech Innovation And IT Infrastructure: Business Implications For Financial Inclusion And Digital Payment Systems. The American Journal of Engineering and Technology, 7(09), 49–73. https://doi.org/10.37547/tajet/Volume07Issue09-05.

Asif Syed, Iqbal Ansari, Kiran Bhujel, Yogesh Sharad Ahirrao, Suresh Shivram Panchal, & Yaseen Shareef Mohammed. (2025). Blockchain Integration In Business Finance: Enhancing Transparency, Efficiency, And Trust In Financial Ecosystems. The American Journal of Engineering and Technology, 7(09), 74–99. https://doi.org/10.37547/tajet/Volume07Issue09-06.

Kiran Bhujel, Iqbal Ansari, Kazi Sanwarul Azim, Suresh Shivram Panchal, & Yogesh Sharad Ahirrao. (2025). Digital Transformation In Corporate Finance: The Strategic Role Of IT In Driving Business Value. The American Journal of Engineering and Technology, 7(09), 100–125. https://doi.org/10.37547/tajet/Volume07Issue09-07.

Yogesh Sharad Ahirrao, Iqbal Ansari, Kazi Sanwarul Azim, Kiran Bhujel, & Suresh Shivram Panchal. (2025). AI-Powered Financial Strategy: Transforming Business Decision-Making Through Predictive Analytics. The American Journal of Engineering and Technology, 7(09), 126–151. https://doi.org/10.37547/tajet/Volume07Issue09-08.

Keya Karabi Roy, Maham Saeed, Mahzabin Binte Rahman, Kami Yangzen Lama, & Mustafa Abdullah Azzawi. (2025). Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective. The American Journal of Applied Sciences, 7(8), 74–93. https://doi.org/10.37547/tajas/Volume07Issue08-07

Maham Saeed. (2025). Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance. The American Journal of Applied Sciences, 7(8), 50–73. https://doi.org/10.37547/tajas/Volume07Issue08-06

Kazi Sanwarul Azim, Maham Saeed, Keya Karabi Roy, & Kami Yangzen Lama. (2025). Digital transformation in hospitals: evaluating the ROI of IT investments in health systems. The American Journal of Applied Sciences, 7(8), 94–116. https://doi.org/10.37547/tajas/Volume07Issue08-08

Kami Yangzen Lama, Maham Saeed, Keya Karabi Roy, & MD Abutaher Dewan. (2025). Cybersecurityac Strategies in Healthcare It Infrastructure: Balancing Innovation and Risk Management. The American Journal of Engineering and Technology, a7(8), 202–225. https://doi.org/10.37547/tajet/Volume07Issue08-17

Maham Saeed, Keya Karabi Roy, Kami Yangzen Lama, Mustafa Abdullah Azzawi, & Yeasin Arafat. (2025). IOTa and Wearable Technology in Patient Monitoring: Business Analyticacs Applications for Real-Time Health Management. The American Journal of Engineering and Technology, 7(8), 226–246. https://doi.org/10.37547/tajet/Volume07Issue08-18

Bhujel, K., Bulbul, S., Rafique, T., Majeed, A. A., & Maryam, D. S. (2024). Economic Inequality And Wealth Distribution. Educational Administration: Theory and Practice, 30(11), 2109–2118. https://doi.org/10.53555/kuey.v30i11.10294

Groenewald, D. E. S., Bhujel, K., Bilal, M. S., Rafique, T., Mahmood, D. S., Ijaz, A., Kantharia, D. F. A., & Groenewald, D. C. A. (2024). Enhancing Organizational performance through competency-based human resource management: A novel approach to performance evaluation. Educational Administration: Theory and Practice, 30(8), 284–290. https://doi.org/10.53555/kuey.v30i8.7250