Md M. Islam

77 Satmasjid Road
Dhanmondi, C 1207, Bangladesh

Last Updated: 09/26/2026

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Found 17 publications

First Time Isolation Report of Bioactive Flavonoids From Water Hyacinth (Eichhornia crassipes) Flower Associated With Pharmacological Investigation.

First Time Isolation Report of Bioactive Flavonoids From Water Hyacinth (Eichhornia crassipes) Flower Associated With Pharmacological Investigation.

Journal: BioMed research international

Published: February 02, 2026

Isolation of bioactive compounds from the petroleum ether soluble fraction of Eichhornia crassipes (Mart.) Solms flowers with dual evaluation: In silico studies of isolated molecules and in vitro/in vivo activities of the extract.

Isolation of bioactive compounds from the petroleum ether soluble fraction of Eichhornia crassipes (Mart.) Solms flowers with dual evaluation: In silico studies of isolated molecules and in vitro/in vivo activities of the extract.

Journal: PloS one

Published: December 01, 2025

Identifying influential determinants of women's empowerment in Bangladesh using machine learning algorithms.

Identifying influential determinants of women's empowerment in Bangladesh using machine learning algorithms.

Journal: PloS one

Published: January 09, 2025

Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data.

Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data.

Journal: PloS one

Published: November 01, 2024

The Miraculous Asian Fruit Baccaurea motleyana Müll. Arg. (Rambai): Exploring the Phyto-Pharmacological Potentials of Fruit Peel Through GC-MS/MS, In Vitro, In Vivo, and In Silico Approaches.

The Miraculous Asian Fruit Baccaurea motleyana Müll. Arg. (Rambai): Exploring the Phyto-Pharmacological Potentials of Fruit Peel Through GC-MS/MS, In Vitro, In Vivo, and In Silico Approaches.

Journal: Chemistry & biodiversity

Published: September 26, 2024

Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.

Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.

Journal: PloS one

Published: May 27, 2024

Unveiling the Therapeutic Potentials of Water Hyacinth (Eichhornia crassipes (Mart.) Solms) Flower against Oxidative Stress, Inflammation and Depressive Disorders: GC-MS/MS, In Vitro, In Vivo and In Silico Approaches.

Unveiling the Therapeutic Potentials of Water Hyacinth (Eichhornia crassipes (Mart.) Solms) Flower against Oxidative Stress, Inflammation and Depressive Disorders: GC-MS/MS, In Vitro, In Vivo and In Silico Approaches.

Journal: Chemistry & biodiversity

Published: May 20, 2024

Phyto-pharmacological evaluation and characterization of the methanolic extract of the Baccaurea motleyana Müll. Arg. seed: promising insights into its therapeutic uses.

Phyto-pharmacological evaluation and characterization of the methanolic extract of the Baccaurea motleyana Müll. Arg. seed: promising insights into its therapeutic uses.

Journal: Frontiers in pharmacology

Published: December 22, 2023

Predicting the risk of diabetic retinopathy using explainable machine learning algorithms.

Predicting the risk of diabetic retinopathy using explainable machine learning algorithms.

Journal: Diabetes & metabolic syndrome

Published: June 19, 2023

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques.

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques.

Journal: Health systems (Basingstoke, England)

Published: May 26, 2023

Flavonoids: A treasure house of prospective pharmacological potentials.

Flavonoids: A treasure house of prospective pharmacological potentials.

Journal: Heliyon

Published: April 29, 2023

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia.

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia.

Journal: PloS one

Published: April 16, 2023

Showing 1-12 of 17

Last Updated: 09/26/2026