• AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features 

  Shaon, Md. Shazzad Hossain; Karim, Tasmin; Sultan, Md. Fahim; Ali, Md. Mamun; Ahmed, Kawsar; Hasan, Md. Zahid; Moustafa, Ahmed; Bui, Francis M.; Al-Zahrani, Fahad Ahmed (Scopus, 2024-06-05)

  Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning ...
• Ammodaucus Leucotrichus Seed Extract as a Potential Therapy in Animal Models of Rheumatoid Arthritis Induced by Complete Freund Adjuvant and Chicken Cartilage Collagen 

  Djehiche, Cheima; Benzidane, Nadia; Djeghim, Hanene; Tebboub, Mehdi; Mebrek, Saad; Abdelouhab, Katia; Baghiani, Abderrahmane; Charef, Noureddine; Messaoudi, Mohammed; Bensouici, Chawki; Lebsir, Rabah; Emran, Talha Bin; Alsalme, Ali; Cornu, David; Bechelany, Mikhael; Arrar, Lekhmici; Barhoum, Ahmed (Scopus, 2024-05-28)

  This study assessed the efficacy of an Ammodaucus leucotrichus seed extract to treat rheumatoid arthritis in rat models of this disease. Rheumatoid arthritis was induced in rats using two methods: immunization with 100 µL ...
• Mechanistic Review on Therapeutic Potential of Medicinal Plants and their Pharmacologically Active Molecules for Targeting Metabolic Syndrome 

  Gauttam, Vinod Kumar; Munjal, Kavita; Chopra, Hitesh; Ahmad, Aftab; Rana, Mahesh Kumar; Kamal, Mohammad Amjad (2023-12-28)

  Metabolic syndrome (MetS) therapy with phytochemicals is an emerging field of study with therapeutic potential. Obesity, insulin resistance, high blood pressure, and abnormal lipid profiles are all components of metabolic ...
• A Machine Learning Based Approach to Classify Tense from English Text 

  Ayman, Umme; Islam, Md. Shafiqul; Rahat, Md. Azmain Mahtab; Raza, Dewan Mamun; Chakraborty, Narayan Ranjan; Bijoy, Md. Hasan Imam (Scopus, 2024-12-19)

  This paper investigates the classification of tense in English text using machine learning algorithms. Support Vector Machine (SVM), Random Forest (RF), Multinomial Naive Bayes (MNB), Decision Tree (DT), XGBoost, and ...
• Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI 

  Islam, Taminul; Sheakh, Md. Alif; Tahosin, Mst. Sazia; Hena, Most. Hasna; Akash, Shopnil; Jardan, Yousef A. Bin; Wondmie, Gezahign Fentahun; Nafidi, Hiba-Allah; Bourhia, Mohammed (Scopus, 2024)

  Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires ...

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