Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey

MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

Curcumin hybrid molecules for the treatment of Alzheimer's disease: Structure and pharmacological activities

WB Zang, HL Wei, WW Zhang, W Ma, J Li… - European Journal of …, 2023 - Elsevier
Alzheimer's disease (AD) is the most common neurodegenerative disease among the
elderly. Contemporary treatments can only relieve symptoms but fail to delay disease …

Engineering multifunctional UV-polymerizable imidazolidinyl urea-based methacrylate resin for 3D printing: Synthesis, characterization, and antimicrobial properties

N Rashed, K Ghosal, N Kana'an, Q Wu… - Chemical Engineering …, 2024 - Elsevier
Abstract 3D photo printing provides immense flexibility in shaping polymeric objects with
intricate geometries. However, the limited availability of photoactive resins for 3D printing …

Unveiling the multitargeted potency of Sodium Danshensu against cervical cancer: a multitargeted docking-based, structural fingerprinting and molecular dynamics …

S Alghamdi, HM Baeissa, M Azhar Kamal… - Journal of …, 2023 - Taylor & Francis
Cervical Cancer (CC) is one of the most common types of cancer in women worldwide, with
a significant number of deaths reported yearly. Despite the various treatment options …

An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives

S Ahmad, K Raza - Journal of Drug Targeting, 2024 - Taylor & Francis
There are over 100 types of human cancer, accounting for millions of deaths every year.
Lung cancer alone claims over 1.8 million lives per year and is expected to surpass 3.2 …

Harnessing machine learning potential for personalised drug design and overcoming drug resistance

MA Hakami - Journal of Drug Targeting, 2024 - Taylor & Francis
Drug resistance in cancer treatment presents a significant challenge, necessitating
innovative approaches to improve therapeutic efficacy. Integrating machine learning (ML) in …

In-silico and in-vitro study reveals Ziprasidone as a potential aromatase inhibitor against breast carcinoma

A Sahu, S Ahmad, K Imtiyaz… - Scientific Reports, 2023 - nature.com
Aromatase enzyme plays a fundamental role in the development of estrogen receptors, and
due to this functionality, the enzyme has gained significant attention as a therapeutic for …

Structural–functional analysis and molecular characterization of arsenate reductase from Enterobacter cloacae RSC3 for arsenic biotransformation

R Bhati, A Nigam, S Ahmad, K Raza, R Singh - 3 Biotech, 2023 - Springer
Enterobacter cloacae RSC3 isolated from an industrial pesticide site transformed arsenate
into arsenite. The arsenate is transported by membrane-bound phosphate transporter and …

Chlordiazepoxide against signalling, receptor and regulatory proteins of breast cancer: a structure-based in-silico approach

AA Alsaiari, AF Gharib, MM Bakhuraysah, AA Alrehaili… - Medical Oncology, 2024 - Springer
Among the most prevalent forms of cancer are breast, lung, colon-rectum, and prostate
cancers, and breast cancer is a major global health challenge, contributing to 2.26 million …

Design of new Mcl-1 inhibitors for cancer using fragments hybridization, molecular docking, and molecular dynamics studies

AA Alzain, FA Elbadwi, RM Mukhtar… - Journal of …, 2023 - Taylor & Francis
Apoptosis is a critical process that regulates cell survival and death and plays an essential
role in cancer development. The Bcl-2 protein family, including myeloid leukemia 1 (Mcl-1) …