A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support DOI Open Access

Abdelrahman M. Helmi,

Sayed AbdelGaber,

Samah Bastawy

et al.

International Journal of Computer Applications, Journal Year: 2023, Volume and Issue: 185(31), P. 30 - 37

Published: Aug. 31, 2023

The COVID-19 pandemic has caused widespread devastation, affected millions of lives and placed immense pressure on healthcare systems worldwide.As the viruses continues to ravage communities, need for solutions that can support early diagnosis diseases automate critical processes in system become more pressing than ever before.Artificial Intelligence (AI) emerged as a versatile technology various industries due its ability save time by enabling machines learn from experience, adapt new inputs, perform human-like tasks.In medical industry, AI crucial tool developing applications combat lives.Therefore, researchers have focused exploring potential fight against commonly coronavirus.This survey paper presents comprehensive review recent models techniques used virus diagnosis, showcasing different approaches both released novel depending types such images biomedical data.The provides an overview models' performance, highlighting their strengths limitations.The study emphasizes contributions previous trials, demonstrating how helped detecting, tracking, predicting spread viruses.Moreover, highlights challenges encountered while including limited availability highquality data, diverse datasets, ethical related data privacy security.The offers insights guide future research accurate effective models.The sensible outlook develop highly address trials.Finally, concludes emphasizing importance continued development AI-based diseases.

Language: Английский

COVID-19: A novel holistic systems biology approach to predict its molecular mechanisms (in vitro) and repurpose drugs DOI
Marzieh Sameni, Seyed Amir Mirmotalebisohi,

Sadaf Dadashkhan

et al.

DARU Journal of Pharmaceutical Sciences, Journal Year: 2023, Volume and Issue: 31(2), P. 155 - 171

Published: Aug. 19, 2023

Language: Английский

Citations

5
Deciphering Molecular Mechanisms of Cutaneous Leishmaniasis, Pathogenesis and Drug Repurposing through Systems Biology DOI Creative Commons
Fatemeh Saberi, Zeinab Dehghan, Zahra Taheri

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 28(4), P. 179 - 191

Published: July 1, 2024

Cutaneous leishmaniasis (CL) is a major health problem caused by an intracellular pathogen of the genus Leishmania. CL results in morphologically distinct skin injuries, ranging from nodules to plaques and ulcers, which persist as recuperating incessant injury depending on type contaminating parasite. There still no effective treatment reduce lesions patients infected with CL. The aim this study was develop strategies treat patients.

Language: Английский

Citations

1
Deciphering the similarities and disparities of molecular mechanisms behind respiratory epithelium response to HCoV-229E and SARS-CoV-2 and drug repurposing, a systems biology approach DOI
Zeinab Dehghan, Seyed Amir Mirmotalebisohi, Maryam Mozafar

et al.

DARU Journal of Pharmaceutical Sciences, Journal Year: 2024, Volume and Issue: 32(1), P. 215 - 235

Published: April 23, 2024

Language: Английский

Citations

1
Expression of DDSR1 Long Non-Coding RNA and Genes Involved in the DNA Damage Response in Sperm with DNA Fragmentation DOI

Mina Moayeri,

Shiva Irani, Marefat Ghaffari Novin

et al.

Reproductive Sciences, Journal Year: 2024, Volume and Issue: 31(10), P. 3112 - 3121

Published: July 16, 2024

Language: Английский

Citations

0
A Comprehensive Survey on the Role of the Medical AI for the Healthcare Support DOI Open Access

Abdelrahman M. Helmi,

Sayed AbdelGaber,

Samah Bastawy

et al.

International Journal of Computer Applications, Journal Year: 2023, Volume and Issue: 185(31), P. 30 - 37

Published: Aug. 31, 2023

The COVID-19 pandemic has caused widespread devastation, affected millions of lives and placed immense pressure on healthcare systems worldwide.As the viruses continues to ravage communities, need for solutions that can support early diagnosis diseases automate critical processes in system become more pressing than ever before.Artificial Intelligence (AI) emerged as a versatile technology various industries due its ability save time by enabling machines learn from experience, adapt new inputs, perform human-like tasks.In medical industry, AI crucial tool developing applications combat lives.Therefore, researchers have focused exploring potential fight against commonly coronavirus.This survey paper presents comprehensive review recent models techniques used virus diagnosis, showcasing different approaches both released novel depending types such images biomedical data.The provides an overview models' performance, highlighting their strengths limitations.The study emphasizes contributions previous trials, demonstrating how helped detecting, tracking, predicting spread viruses.Moreover, highlights challenges encountered while including limited availability highquality data, diverse datasets, ethical related data privacy security.The offers insights guide future research accurate effective models.The sensible outlook develop highly address trials.Finally, concludes emphasizing importance continued development AI-based diseases.

Language: Английский

Citations

0