Mai Alajaji

Mai Alajaji


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 March 2023 in Molecules
Verified
Journal Article
Open access
PDF file
MAManal A. Alossaimi
Manal A. Alossaimi
HEHeba El-Mansi
Heba El-Mansi
MAMai Alajaji
Mai Alajaji
AAAli Altharawi
Ali Altharawi
AAAbdulmalik S. A. Altamimi
Abdulmalik S. A. Altamimi
GMGalal Magdy
Galal Magdy
One of the most promising drugs recently approved for the treatment of various types of cancer is dacomitinib, which belongs to the tyrosine kinase inhibitor class. The US Food and Drugs Administration (FDA) has recently approved dacomitinib as a first-line treatment for patients suffering from non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations. The current study proposes the design of a novel spectrofluorimetric method for determining dacomitinib based on newly synthesized nitrogen-doped carbon quantum dots (N-CQDs) as fluorescent probes. The proposed method is simple and does not require pretreatment or preliminary procedures. Since the studied drug does not have any fluorescent properties, the importance of the current study is magnified. When excited at 325 nm, N-CQDs exhibited native fluorescence at 417 nm, which was quantitatively and selectively quenched by the increasing concentrations of dacomitinib. The developed method involved the simple and green microwave-assisted synthesis of N-CQDs, using orange juice as a carbon source and urea as a nitrogen source. The characterization of the prepared quantum dots was performed using different spectroscopic and microscopic techniques. The synthesized dots had consistently spherical shapes and a narrow size distribution and demonstrated optimal characteristics, including a high stability and a high fluorescence quantum yield (25.3%). When assessing the effectiveness of the proposed method, several optimization factors were considered. The experiments demonstrated highly linear quenching behavior across the concentration range of 1.0−20.0 μg/mL with a correlation coefficient (r) of 0.999. The recovery percentages were found to be in the range of 98.50–100.83% and the corresponding relative standard deviation (%RSD) was 0.984. The proposed method was shown to be highly sensitive with a limit of detection (LOD) as low as 0.11 μg/mL. The type of mechanism by which quenching took place was also investigated by different means and was found to be static with a complementary inner filter effect. For quality purposes, the assessment of the validation criteria adhered to the ICHQ2(R1) recommendations. Finally, the proposed method was applied to a pharmaceutical dosage form of the drug (Vizimpro® Tablets) and the obtained results were satisfactory. Considering the eco-friendly aspect of the suggested methodology, using natural materials to synthesize N-CQDs and water as a diluting solvent added to its greenness profile.

31 August 2024
Verified
Book Chapter
Open access
PDF file
NANoof AlWatban
Noof AlWatban
FOFatmah Othman
Fatmah Othman
NANadin Almosnid
Nadin Almosnid
KAKhulud AlKadi
Khulud AlKadi
MAMai Alajaji
Mai Alajaji
DADalal S Aldeghaither
Dalal S Aldeghaither
The development of Digital Health in Saudi Arabia has been evolving at a rapid pace, in alignment with the health sector’s 2030 Transformation Program. This chapter will cover the development of the digital health sector and outline some of the main technologies that serve it. As an introduction, the journey of digital health, specifically Electronic Health Records, among other technologies within the landscape of Saudi Arabia, have been outlined. Followed by an introduction of the digital health transformation, technologies and solutions that were introduced or enhanced in the existing digital market, including: Telemedicine, patient portals, mHealth, wearable health monitoring technologies, virtual reality and augmented reality, artificial intelligence, blockchains, and the Seha virtual hospital. The chapter will be explored through references to key players in the digital health ecosystem, such as the patients, providers, the Ministry of Health (MOH), other regulators and initiatives, including their contributions to digital health in the Kingdom. The chapter will conclude with implications and opportunities for investment in this field, specifically artificial intelligence (AI). Research, partnerships and changing healthcare reform are highlighted as driving improvements in Saudi Arabian digital health.

16 March 2022 in BMC Medical Education
Verified
Journal Article
Open access
PDF file
MAMai Alajaji
Mai Alajaji
NSNada M. Saleh
Nada M. Saleh
AAAli Hassan AlKhulaif
Ali Hassan AlKhulaif
SMSilvia Mamede
Silvia Mamede
JRJerome I. Rotgans
Jerome I. Rotgans
HSHenk G. Schmidt
Henk G. Schmidt
Background: Diagnostic error is a major source of patient suffering. Researchshows that physicians experience frequent interruptions while being engaged with patients and indicate that diagnostic accuracy may be impaired as a result. Since most studies in the field are observational, there is as yet no evidence suggesting a direct causal link between being interrupted and diagnostic error. Theexperiments reported in this article were intended to assess this hypothesis.Methods: Three experiments were conducted to test the hypothesis that interruptions hurt diagnostic reasoning and increase time on task. In the first experiment (N = 42), internal medicine residents, while diagnosing vignettes of actual clinical cases were interrupted halfway with a task unrelated to medicine, solving word-spotting puzzles and anagrams. In the second experiment (N = 78), the interruptions were medically relevant ones. In the third experiment (N = 30), we put additional time pressure on the participants. In all these experiments, a control group diagnosed the cases without interruption. Dependent variables were diagnostic accuracy and amount of time spent on the vignettes.Results: In none of the experiments interruptions were demonstrated to influence diagnostic accuracy. In Experiment 1: Mean of interrupted group was 0.88 (SD = 0.37) versus non- interrupted group 0.91 (SD = 0.32). In Experiment 2: Mean of interrupted group was 0.95 (SD = 0.32) versus non-interrupted group 0.94 (SD = 0.38). In Experiment 3: Mean of interrupted group was 0.42 (SD = 0.12) versus non-interrupted group 0.37 (SD = 0.08). Although interrupted residents in all experiments needed more time to complete the diagnostic task, only in Experiment 2, this effect was statistically significant.Conclusions: These three experiments, taken together, failed to demonstrate negative effects of interruptions on diagnostic reasoning. Perhaps physicians who are interrupted may still have sufficient cognitive resources available to recover from it most of the time.

29 April 2020 in Proceedings
Verified
Conference Paper
Open access
PDF file
ZAZeyad Alehaideb
Zeyad Alehaideb
NMNimer Mehyar
Nimer Mehyar
MAMai Alajaji
Mai Alajaji
MAMohammed Alassiri
Mohammed Alassiri
MAManal Alaamery
Manal Alaamery
MBMohamed Boudjelal
Mohamed Boudjelal
Following the success of our first therapeutic discovery conference in 2017 and the selection of King Abdullah International Medical Research Centre (KAIMRC) as the first Phase 1 clinical site in the Kingdom of Saudi Arabia, we organized our second conference in partnership with leading institutions in academic drug discovery, which included the Structural Genomic Constorium (Oxford, UK), Fraunhofer (Germany) and Institute Material Medica (China); the participation of members of the American Drug Discovery Consterium; European Biotech companies; and local pharma companies, SIPMACO and SudairPharma. In addition, we had European and Northern American venture capital experts attending and presenting at the conference. The purpose of the conference was to bridge the gap between biotech, pharma and academia regarding drug discovery and development. Its aim primarily was to: (a) bring together world experts on academic drug discovery to discuss and propose new approaches to discover and develop new therapies; (b) establish a permanent platform for scientific exchange between academia and the biotech and pharmaceutical industries; (c) entice national and international investors to consider funding drugs discovered in academia; (d) educate the population about the causes of diseases, approaches to prevent them from happening and their cure; (e) attract talent to consider the drug discovery track for their studies and career. During the conference, we discussed the unique academic drug discovery disrupting business models, which can make their discoveries easily accessible in an open source mode. This unique model accelerates the dissemination of knowledge to all world scientists to guide them in their research. This model is aimed at bringing effective and affordable medicine to all mankind in a very short time. Moreover, the program discussed rare disease targets, orphan drug discovery, immunotherapy discovery and process, the role of bioinformatics in drug discovery, anti-infective drug discovery in the era of bad bugs, natural products as a source of novel drugs and innovative drug formulation and delivery. Additionally, as the conference was organized during the surge of the epidemic, we dedicated the first day (25 February) to coronavirus science, detection and therapy. The day was co-organized with the King Saud bin Abdulaziz University for Health Sciences, Kingdom of Saudi Arabia(KSA) Ministry of Education to announce the grant winner for infectious diseases. Simultaneously, intensive courses were delivered to junior scientists on the principle of drug discovery, immunology and clinical trials, as well as rare diseases. The second therapeutics discovery forum provided a platform for interactive knowledge sharing and the convergence of researchers, governments, pharmaceuticals, biopharmaceuticals, hospitals and non-profit organizations on the topic of academic drug discovery. The event presented showcases on global drug discovery initiatives and demonstrated how collaborations are leading to successful new therapies. In line with the KSA 2030 vision on becoming world leaders with an innovative economy and healthy population, therapeutic discovery is becoming an area of interest to science leaders in the kingdom, and our conference gave us the opportunity to identity key areas of interest as well as potential future collaborations.