Tanvir Ahmad

Cardiology | Interventional Cardiology

7020 Smoke Ranch Rd
Ste 150
Las Vegas, NV 89128

Last Updated: 09/26/2026

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Found 11 publications

A Multimodal deep learning method for predicting drug-induced liver injury using structural and sequential molecular representations.

A Multimodal deep learning method for predicting drug-induced liver injury using structural and sequential molecular representations.

Journal: Journal of computer-aided molecular design

Published: September 26, 2025

An attention-enhanced few-shot model for event detection in online social networks.

An attention-enhanced few-shot model for event detection in online social networks.

Journal: Scientific reports

Published: February 15, 2025

Stacked ensemble-based mutagenicity prediction model using multiple modalities with graph attention network.

Stacked ensemble-based mutagenicity prediction model using multiple modalities with graph attention network.

Journal: Medical & biological engineering & computing

Published: July 05, 2024

TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection.

TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection.

Journal: Journal of computer-aided molecular design

Published: August 08, 2023

A cluster-based ensemble approach for congenital heart disease prediction.

A cluster-based ensemble approach for congenital heart disease prediction.

Journal: Computer methods and programs in biomedicine

Published: April 15, 2023

Phytocompound screening, antioxidant activity and molecular docking studies of pomegranate seed: a preventive approach for SARS-CoV-2 pathogenesis.

Phytocompound screening, antioxidant activity and molecular docking studies of pomegranate seed: a preventive approach for SARS-CoV-2 pathogenesis.

Journal: Scientific reports

Published: March 03, 2023

Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer.

Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer.

Journal: Current urology

Published: January 01, 2023

A machine learning strategy with clustering under sampling of majority instances for predicting drug target interactions.

A machine learning strategy with clustering under sampling of majority instances for predicting drug target interactions.

Journal: Molecular informatics

Published: May 11, 2022

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques.

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques.

Journal: Computational intelligence and neuroscience

Published: November 04, 2021

Data mining and machine learning in cancer survival research: An overview and future recommendations.

Data mining and machine learning in cancer survival research: An overview and future recommendations.

Journal: Journal of biomedical informatics

Published: October 13, 2021

Time-range based sequential mining for survival prediction in prostate cancer.

Time-range based sequential mining for survival prediction in prostate cancer.

Journal: Journal of biomedical informatics

Published: June 26, 2020

Showing 1-11 of 11

Last Updated: 09/26/2026