Treating Cancers Using Nature’s Medicine: Significance and Challenges by Samson Samuel (6828956)

“…In recent decades, the emphasis on identifying therapeutic plant-based active principles led to significant advancements in the identification and use of natural compounds to treat various diseases (Figure 1) [2,3]. …”

Machine Learning Based Palm Farming: Harvesting and Disease Identification by Khan, Sana Z.

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Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. …”

Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease by Fathima Lamya (22565261)

“…<h3>Introduction</h3><p dir="ltr">Coronary artery disease (CAD) is a major global cause of morbidity and mortality. …”

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Photobiomodulation Suppresses Alpha-Synuclein-Induced Toxicity in an AAV-Based Rat Genetic Model of Parkinson’s Disease by Abid Oueslati (816135)

“…In the present study, we report that chronic PMB treatment mitigates dopaminergic loss induced by unilateral overexpression of human α-synuclein (α-syn) in the substantia nigra of an AAV-based rat genetic model of Parkinson’s disease (PD). …”

A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …”

Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”

Vocal Changes in Patients With Polycystic Ovary Syndrome by Hannoun, Antoine

“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

“…Citrus fruits are delicate and susceptible to many diseases and infections. Many researchers have suggested deep and machine learning-based fruit disease detection and classification models. …”

Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion by Khoury, Nathalie

“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Epigenetic analysis of Paget’s disease of bone identifies differentially methylated loci that predict disease status by Ilhame Diboun (3522413)

“…<p dir="ltr">Paget’s disease of bone (PDB) is characterized by focal increases in disorganized bone remodeling. …”

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

“…<p dir="ltr">Modeling the impacts of Land Use/Land Cover changes (LULCC) on Land Surface Temperature (LST) is crucial in understanding and managing urban heat islands, climate change, energy consumption, human health, and ecosystem dynamics. …”

Patients with early onset of type 1 diabetes have significantly higher GG genotype at position 49 of the CTLA4 gene by Zalloua, Pierre

“…The GG genotype was also significantly higher among patients (12.6%) than in controls (4.2%). χ2 analysis and family-based association studies were performed and suggested the association of CTLA4 exon 1 G polymorphism with T1D (p = 0.0229). …”
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Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture by Hasibul Islam Peyal (17983828)

“…Cotton is another essential cash crop because most farmers grow it in huge quantities. However, many diseases reduce the quality and quantity of tomato and cotton crops, resulting in a significant loss in production and productivity. …”

Hydrogen bonding: a mechanism for tuning electronic and optical properties of hybrid organic–inorganic frameworks by Fedwa El-Mellouhi (2011099)

Pregnancy-related issues in women with multiple sclerosis: an evidence-based review with practical recommendations by Beatriz Canibaño (18102676)

“…</p><h3>Research design and methods</h3><p dir="ltr">A systematic review was performed based on a comprehensive literature search.</p><h3>Results</h3><p dir="ltr">MS has no effect on fertility, pregnancy or fetal outcomes, and pregnancies do not affect the long-term disease course and accumulation of disability. …”