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Fulltext Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook

Abdul Rasool Hassan B, Mohammed AH, Hallit S, Malaeb D, Hosseini H

Front Oncol, 2025;15:1475893.
PMID: 39990683 DOI: 10.3389/fonc.2025.1475893

BACKGROUND: Artificial intelligence (AI) has emerged as a transformative tool in oncology, offering promising applications in chemotherapy development, cancer diagnosis, and predicting chemotherapy response. Despite its potential, debates persist regarding the predictive accuracy of AI technologies, particularly machine learning (ML) and deep learning (DL).
OBJECTIVE: This review aims to explore the role of AI in forecasting outcomes related to chemotherapy development, cancer diagnosis, and treatment response, synthesizing current advancements and identifying critical gaps in the field.
METHODS: A comprehensive literature search was conducted across PubMed, Embase, Web of Science, and Cochrane databases up to 2023. Keywords included "Artificial Intelligence (AI)," "Machine Learning (ML)," and "Deep Learning (DL)" combined with "chemotherapy development," "cancer diagnosis," and "cancer treatment." Articles published within the last four years and written in English were included. The Prediction Model Risk of Bias Assessment tool was utilized to assess the risk of bias in the selected studies.
CONCLUSION: This review underscores the substantial impact of AI, including ML and DL, on cancer diagnosis, chemotherapy innovation, and treatment response for both solid and hematological tumors. Evidence from recent studies highlights AI's potential to reduce cancer-related mortality by optimizing diagnostic accuracy, personalizing treatment plans, and improving therapeutic outcomes. Future research should focus on addressing challenges in clinical implementation, ethical considerations, and scalability to enhance AI's integration into oncology care.
Fulltext Author Correction: A multinational study on the factors influencing university students' attitudes and usage of ChatGPT

Abdaljaleel M, Barakat M, Alsanafi M, Salim NA, Abazid H, Malaeb D, et al.

Sci Rep, 2024 Apr 09;14(1):8281.
PMID: 38594508 DOI: 10.1038/s41598-024-59011-9
Fulltext A multinational study on the factors influencing university students' attitudes and usage of ChatGPT

Abdaljaleel M, Barakat M, Alsanafi M, Salim NA, Abazid H, Malaeb D, et al.

Sci Rep, 2024 Jan 23;14(1):1983.
PMID: 38263214 DOI: 10.1038/s41598-024-52549-8

Artificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed to investigate the factors influencing university students' attitudes and usage of ChatGPT in Arab countries. The survey instrument "TAME-ChatGPT" was administered to 2240 participants from Iraq, Kuwait, Egypt, Lebanon, and Jordan. Of those, 46.8% heard of ChatGPT, and 52.6% used it before the study. The results indicated that a positive attitude and usage of ChatGPT were determined by factors like ease of use, positive attitude towards technology, social influence, perceived usefulness, behavioral/cognitive influences, low perceived risks, and low anxiety. Confirmatory factor analysis indicated the adequacy of the "TAME-ChatGPT" constructs. Multivariate analysis demonstrated that the attitude towards ChatGPT usage was significantly influenced by country of residence, age, university type, and recent academic performance. This study validated "TAME-ChatGPT" as a useful tool for assessing ChatGPT adoption among university students. The successful integration of ChatGPT in higher education relies on the perceived ease of use, perceived usefulness, positive attitude towards technology, social influence, behavioral/cognitive elements, low anxiety, and minimal perceived risks. Policies for ChatGPT adoption in higher education should be tailored to individual contexts, considering the variations in student attitudes observed in this study.
Fulltext Exploring the quality of life of cosmetic users: A cross-sectional analysis from eight Arab countries in the Middle East

Mohammed AH, Hassan BAR, Wayyes AM, Al-Tukmagi HF, Blebil A, Dujaili J, et al.

J Cosmet Dermatol, 2023 Jan;22(1):296-305.
PMID: 35567513 DOI: 10.1111/jocd.15085

BACKGROUND: The use of cosmetic products is growing in dominance in the Arab population, making it essential to measure its effects on users. The production of cosmetics has been largely driven by consumerism and a bid to keep abreast with the latest trends in the beauty industry with less attention on how the users' quality of life (QoL) is affected.
AIMS: This study aims to investigate the effect of cosmetic products on users' quality of life in eight Arab countries.
METHODS: A cross-sectional study was carried out using an online data collection approach. A validated and specialist instrument tool called BeautyQoL, which consists of five domains and a total of 52 questions, was distributed to a sample of 2219 cosmetic users. Descriptive and inferential statistical analysis was done using SPSS® version 26.0.
RESULTS: The mean age of participants was 34 ± 11.25 years, and more women were represented in the sample (71%) than men. The majority of respondents had oily skin type (39.6%) and tan skin tone (30.4%). QoL through cosmetic use is computed with a mean score of 51 out of 100. The users' mean score satisfaction from cosmetic use is centred on attractiveness (56.1), followed by self-confidence (51.8). Cosmetics have a statistically significant effect on participants who are young adults, women, single, and employed with high income. As the respondents' skin tone deepens from very fair to dark, the mean score for each domain significantly increases, whereas when skin type changes from very oily to dry, the mean score for each domain decreases.
CONCLUSION: The effect of cosmetics on the users' QoL is limited, contrary to the narrative commonly portrayed in cosmetics' advertisements. Therefore, the use of cosmetics among the Arab population should be from an informed perspective of their specific needs instead of conforming to the viral trends pedaled by influencers and bloggers on social media, which might be irrelevant for them.
Loneliness and susceptibility to social pain mediate the association between autistic traits and psychotic experiences in young non-clinical adults

Fekih-Romdhane F, Sarra Chaibi L, Alhuwailah A, Sakr F, Helmy M, Ahmed H, et al.

Sci Rep, 2025 Mar 06;15(1):7836.
PMID: 40050632 DOI: 10.1038/s41598-025-90597-w

Understanding of the mechanisms involved in the occurrence of psychotic experiences (PEs) in highly autistic individuals is crucial for identifying appropriate prevention and intervention strategies. This study aimed to investigate the mediating role of susceptibility to social pain and loneliness in the relationship between autistic traits (ATs) and PEs in adults from the general population of 12 Arab countries. This cross-sectional study is part of a large-scale multi-country research project. A total of 7646 young adults (age range 18-35 years, mean age of 22.55 ± 4.00 years and 75.5% females) from twelve Arab countries (i.e., Algeria, Bahrain, Egypt, Iraq, Jordan, Kingdom of Saudi Arabia, Kuwait, Lebanon, Morocco, Oman, Palestine, and Tunisia) were included. Mediation analyses showed that, after adjusting over confounding variables, both loneliness (indirect effect: Beta = 0.18; Boot SE = 0.02; Boot CI 0.14; 0.21) and social pain (indirect effect: Beta = 0.03; Boot SE = 0.01; Boot CI 0.001; 0.05) partially mediated the association between ATs and PEs. Higher ATs were significantly associated with more loneliness and susceptibility to social pain, and directly associated with more severe PEs. Finally, higher loneliness and susceptibility to social pain were significantly associated with greater PEs scores. Findings indicated that individuals with higher ATs tend to experience greater loneliness and feel more pain from rejection, which can in turn be associated with higher levels of PEs. Interventions targeting susceptibility to social pain and loneliness as a means of mitigating PEs among highly autistic adults should be considered.