Author

Towsif Alam

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Open access Aug 2026

Explainable and Cost-Sensitive Machine Learning for Fraud Prevention in U.S. Banking: Threshold Optimization, SHAP Explainability, and Fairness Analysis.

Credit card fraud is a major challenge for U.S. financial institutions. Banks need fraud detection systems that can identify fraudulent transactions, reduce false alarms for legitimate customers, and meet regulatory expectations. This study develops an explainable and cost-sensitive machine learning model for detecting...

Kazi Shakhawat Hossain, Arefin Ahmed Sajib, Towsif Alam · Journal of business and mana... · 0 citations

Review Open access Aug 2026

Integrating Artificial Intelligence with Global Genomic Resources: A Narrative Review of Implications for Precision Medicine

Findings indicate that artificial intelligence can support the integration and analysis of multi-omics data, support the identification of genetic variants and disease associations, and improve predictive modeling for precision medicine.

Towsif Alam, Koushik Saha, M. K. K. Rony et al. · Journal of Multidisciplinary... · 0 citations

Review Open access Jul 2026

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Big data in cancer genomics offer substantial potential to advance precision oncology by enabling more accurate and personalized treatment strategies, however, overcoming technical, ethical, and infrastructural barriers is essential to ensure effective translation into clinical practice and equitable healthcare outcome...

Nur Vanu, Nur Mohammad, Fahad Ahmed et al. · Computational and Systems On... · 0 citations