Archives of Pharmaceutical Sciences and Research
| CONTENTS | ||||
VOLUME 16 ISSUE 2 |
JUNE 2026 |
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Sl. No. |
Title |
Page No. |
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| Review Articles | ||||
| 1. | A Review of Artificial Intelligence Models for Demand Forecasting in Healthcare Supply Chains |
1-8 | ||
Sourish, Shreevathsa, Mihir R Shandilya, Ayisha Afra, Kathija Shafa |
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| Abstract |  PDF |
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| 2. | Emergence and Clinical Impact of NDM-1 (New Delhi Metallo-Β-Lactamase-1) In Escherichia Coli: Mechanisms and Therapeutic Challenges | 9-13 | ||
| Lakshmi.S, Anfal Uzma Deenaz, Mangala D N, Saleela, Hithashree M, Keerthana H Bhongale | ||||
| Abstract | PDF |
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| 3. | Molecular Docking Approaches for Drug Repurposing Against NDM-1 (New Delhi Metallo-Β-Lactamase-1) In Escherichia Coli | 14-21 | ||
| Vidya M.S, Vidya J, Josvitha Dsouza, Aminath Noufeena, Spoorthi B S | ||||
| Abstract | PDF |
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| 4. | A Systematic Analysis of Stockouts, Procurement Inefficiencies and Overstocking in Pharmaceutical Supply Chain | 22-31 | ||
| Vaibhava V B, Isha M, Ayishath Aifa, Aysha Shamla, Nafeesath Nafiya, Khushi Tara | ||||
| Abstract | PDF |
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| 5. | A Review of Inventory Management Practices in the Pharmaceutical Industry: Challenges and Optimization Strategies | 32-37 | ||
| Priya M , Likhitha G P, Aysha Hana MTC , Nidha Fathima CA , Aminath Dana Munawara | ||||
| Abstract | PDF |
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| 6. | Computational Modeling for Predicting Antibiotic Resistance Risk In Soil Ecosystem | 38-43 | ||
| Yoggita S, Vaishnavi V Rao, Anusha A Vernakar, Sindhu Mallappa Gavannavar, Veeksha K V | ||||
| Abstract | PDF |
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| 7. | Computational Modeling for Predicting Antibiotic Residues Risk in Aquatic Ecosystems | 44-50 | ||
| Madhushree M B, Amrutha V N, Sumedha P, Nayana G Singh, Kushan | ||||
| Abstract | PDF |
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| 8. | Computational Optimization Strategies for Mitigation of Antibiotic Resistance in Ecosystems | 51-56 | ||
| Pravardhana Prabhu, Swathi, Nithya, Deepika, Sai Lekhana D S | ||||
| Abstract | PDF |
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| 9. | Role of Artificial Intelligence in Drug Repurposing for Targeting NDM-1 (New Delhi Metallo-Beta-Lactamase-1): Machine Learning Approaches and Re-Cent Advances | 57-63 | ||
| Kadeejath Nihala, Deepthi S Gowda, Jayavardhini R, Hitesh K U, Shreyas P S | ||||
| Abstract | PDF |
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