Vol. 3 No. 1 (2026)

Research Articles

• Proteinext: Protein Function Prediction with Sequence Embeddings and Natural Language Processing

  Hailey Ledenko, Luke Coleman, G. Alvarado, Tyler Stratton, Boen Liu, Jie Hou, Dong Si, Lei Zhang, Rui Ding, Yang Wang, Renzhi Cao

  1–9

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• Deep Learning for Joint Scleral and Scleral Vessel Segmentation: A Comparative Study

  Yongbin Qi, Baochen Zhen, Jiaming Wang, Shilin Zhao, Yansuo Yu, Qiang Liu

  10–21

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• Computational Analysis to Identify Novel Drug Targets for Esophageal Cancer

  Vinod Jangid, Chandrasekar Narayanan Rahul, Aarthi Rashmi B., Kanagaraj Sekar

  22–33

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• Formalized Assessment of Handwriting Deterioration Caused by Dementia

  Yury Chernov

  34–45

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• Deep Learning Neural Network with Transfer Learning for Liver Cancer Classification

  Nibras Mizouri

  46–55

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• NeuroBlend-3: Hybrid Deep and Machine Learning Framework with Explainable AI for Multi-class Brain Tumor Detection Using MRI Scans

  Mohammed Ibrahim Hussain, Safiul Haque Chowdhury, Muhammad Minoar Hossain, Mohammad Mamun

  56–66

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• An Artificial Intelligence and Biochemical Modelling Approach for LDL Cholesterol Prediction

  Petros Paplomatas, Maria Kantartzi, Kostas Anagnostopoulos, Aristidis Vrahatis

  67–73

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• Elucidating and Confirming the Substrate and Cofactor Binding Site of RetSat and Identifying the Optimal Cofactor for Retinol Saturase – A Computational Insight

  Virangi Tharika Hewage, Ranga Srinath Jayakody, Anura Jayasooriya, Tharindu Senapathi, Krishna Govendar

  74–87

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• TCM2COVID in 2024: Enhanced Data on Traditional Chinese Medicine Formulas and Knowledge Graph for COVID-19

  Xianrun Pan, Yang Zhang, Jian Huang, Liping Ren

  88–94

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• Identification and Functional Characterization of Maturation-Dependent Changes in Dendritic Cell Exosome-Shuttle Targetome

  Bhaskar Ganguly

  95–102

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