Author

S. Singh

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Review Open access Sep 2026

Multimodal AI and Machine Learning for Predictive Risk Stratification, Early Detection, And Clinical Management of Pica: Integrating Etiological and Pathophysiological Biomarkers

Pica is a clinically significant and often overlooked feeding and eating disorder in which individuals have a persistent urge to eat or chew non-nutritious or non-food items and is linked to nutritional, hematological, behavioral, and environmental issues. Human studies have regularly found links between pica and iron...

Yash Srivastav, S. Verma, Kamini Prajapati et al. · Journal of Pharmaceutical Re... · 0 citations

2026

Deciphering the oncogenic role of RRM2 in Glioblastoma multiforme and its modulation by plant derived compounds

Glioblastoma multiforme (GBM) is an extremely virulent and treatment-resistant primary brain tumor that has a very rapid course, is commonly recurrent, and has very poor patient prognosis. Discovery of strong molecular targets is still urgent to further precision oncology in GBM. An integrative bioinformatics and compu...

S. Singh, Pardeep Yadav, S. K. Jha · Medicinal Plants - Internati... · 0 citations

#gene editing Review Open access Aug 2026

ML in Rare Facial Disorders: Hemifacial Microsomia, Parry-Romberg Syndrome, Moebius Syndrome, Treacher Collins Syndrome, Apert Syndrome, and Crouzon Syndrome-From Etiological Mapping and Pathology to AI-Driven Bio-Computational Gene Therapy

There is sufficient evidence indicating the benefits of AI in increasing the accuracy in diagnosis, objective craniofacial evaluation, and customized treatment plans, whereas computational therapy is still experimental, and future studies need to concentrate on multicenter data sharing, multimodal explainable AI, preci...

Yash Srivastav, S. Verma, Kamini Prajapati et al. · Journal of Pharmaceutical Re... · 0 citations