Artificial intelligence driven bioinformatics for sustainable bioremediation: integrating computational intelligence with ecological restoration

Environmental pollution from heavy metals and untreated wastewater poses significant risks to ecosystems and human health, highlighting the urgent need for innovative remediation strategies.

Authors

Debajyoti Bose (ORCID: https://orcid.org/0000-0002-3457-6994)
Riya Bhattacharya (ORCID: https://orcid.org/0000-0001-9175-2256)
Raul V. Rodriguez (ORCID: https://orcid.org/0000-0001-9831-905X)
Aritra Ray (ORCID: https://orcid.org/0009-0009-4773-5286)
Kashif R. Siddique

Institutions

Purdue University West Lafayette (US)
Woxsen School of Business (IN)

Publication Details

Journal: Environmental Science Advances
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5va00240k
Citations: 3
Primary Topic: Cell Image Analysis Techniques
Type: article
Field-Weighted Citation Impact: 4.90

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article

Artificial intelligence driven bioinformatics for sustainable bioremediation: integrating computational intelligence with ecological restoration

Debajyoti Bose, Riya Bhattacharya, Raul V. Rodriguez, Aritra Ray et al.

Jan 1, 2025

3 citations

Environmental Science Advances

Cell Image Analysis Techniques

4.90

article

Artificial intelligence driven bioinformatics for sustainable bioremediation: integrating computational intelligence with ecological restoration

Debajyoti Bose, Riya Bhattacharya, Raul V. Rodriguez, Aritra Ray, Kashif R. Siddique

January 1, 2025article en

3 citations

Abstract

Environmental pollution from heavy metals and untreated wastewater poses significant risks to ecosystems and human health, highlighting the urgent need for innovative remediation strategies.

Environmental Science AdvancesVol. 4(12)

Purdue University West Lafayette (US), Woxsen School of Business (IN)

Openalex Percentile: Top 5%

Cell Image Analysis Techniques

4.90

DOI Open Access PDF OpenAlex

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