Artificial Intelligence: Knowledge and Attitude Among Lebanese Medical Students.

Background Artificial intelligence (AI) has taken on a variety of functions in the medical field, and research has proven that it can address complicated issues in various applications. It is unknown whether Lebanese medical students and residents have a detailed understanding of this concept, and little is known about their attitudes toward AI. Aim This study fills a critical gap by revealing the knowledge and attitude of Lebanese medical students toward AI. Methods A multi-centric survey targeting 365 medical students from seven medical schools across Lebanon was conducted to assess their knowledge of and attitudes toward AI in medicine. The survey consists of five sections: the first part includes socio-demographic variables, while the second comprises the 'Medical Artificial Intelligence Readiness Scale' for medical students. The third part focuses on attitudes toward AI in medicine, the fourth assesses understanding of deep learning, and the fifth targets considerations of radiology as a specialization. Results There is a notable awareness of AI among students who are eager to learn about it. Despite this interest, there exists a gap in knowledge regarding deep learning, albeit alongside a positive attitude towards it. Students who are more open to embracing AI technology tend to have a better understanding of AI concepts (p=0.001). Additionally, a higher percentage of students from Mount Lebanon (71.6%) showed an inclination towards using AI compared to Beirut (63.2%) (p=0.03). Noteworthy are the Lebanese University and Saint Joseph University, where the highest proportions of students are willing to integrate AI into the medical field (79.4% and 76.7%, respectively; p=0.001). Conclusion It was concluded that most Lebanese medical students might not necessarily comprehend the core technological ideas of AI and deep learning. This lack of understanding was evident from the substantial amount of misinformation among the students. Consequently, there appears to be a significant demand for the inclusion of AI technologies in Lebanese medical school courses.

Menstrual abnormalities post-COVID vaccination: a cross-sectional study on adult Lebanese women.

BACKGROUND: In the year 2020, the coronavirus pandemic invaded the world. Since then, specialized companies began to compete, producing many vaccines. Coronavirus vaccines have different adverse events. Menstrual disorders have been noticed as a common complaint post-vaccination. AIM: Our study fills an important gap by evaluating the relationship between coronavirus vaccines and menstrual disorders. METHODS: This is a cross-sectional study between 20 September 2021, and 1 October 2021, using an online survey. The questionnaire consisted of 36 questions divided into 4 sections: demographics, COVID-19 exposure and vaccination, hormonal background, and details about the menstrual cycle. Sample t-test, ANOVA test, chi-square, and McNemar test were used in bivariate analysis. RESULTS: This study includes 505 Lebanese adult women vaccinated against COVID-19. After vaccination, the number of women having heavy bleeding or light bleeding increased (p = 0.02 and p < 0.001, respectively). The number of women having regular cycles decreased after taking the vaccine (p < 0.001). Irregularity in the cycle post-vaccination was associated with worse PMS symptoms (p = 0.036). Women using hormonal contraception method or using any hormonal therapy had higher menstrual irregularity rates (p = 0.002 and p = 0.043, respectively). Concerning vaccine adverse events, those who had headaches had a higher rate of irregularity (p = 0.041). Those having PCOS, osteoporosis, or blood coagulation disorders had higher irregularity rate (p < 0.001 and p = 0.005, respectively). CONCLUSION: Vaccine adverse events may include specific menstrual irregularities. Moreover, some hormonal medications and diseases are associated with the alteration of the menstrual cycle. This study helps in predicting vaccines' menstrual adverse events, especially in a specific population prone to menstrual disorders.

The Emergence and Dissemination of Multidrug Resistant Pseudomonas aeruginosa in Lebanon: Current Status and Challenges during the Economic Crisis.

Pseudomonas aeruginosa is a common cause of healthcare-associated infections and chronic airway diseases in non-clinical settings. P. aeruginosa is intrinsically resistant to a variety of antimicrobials and has the ability to acquire resistance to others, causing increasingly recalcitrant infections and elevating public health concerns. We reviewed the literature on multidrug-resistant (MDR) P. aeruginosa isolated from humans (nosocomial and community-associated), animals, and the environment in Lebanon, a country that has been suffering from a surge in antimicrobial resistance (AMR). We identified 24 studies that described the epidemiology and antimicrobial susceptibility profiles of P. aeruginosa. Our analysis showed that the bacterium was predominant in lesions of patients on mechanical ventilation and in burn patients and those with diabetic foot infections and hematological malignancies. We also found that carbapenem resistance in P. aeruginosa isolates in Lebanon involved both enzymatic and non-enzymatic mechanisms but depended predominantly on VIM-2 production (40.7%). Additionally, MDR P. aeruginosa was detected in animals, where a recent study reported the emergence of carbapenemase-producing P. aeruginosa in livestock in Lebanon. Notably, no studies evaluated the contribution of MDR P. aeruginosa in the environment to human infections. Taken together, our findings highlight the need for AMR surveillance programs and a national action plan to combat resistance in Lebanon.

Preparation of pH-Indicative and Flame-Retardant Nanocomposite Films for Smart Packaging Applications.

There is an increasing demand for sustainable and safe packaging technologies to improve consumer satisfaction, reduce food loss during storage and transportation, and track the quality status of food throughout its distribution. This study reports the fabrication of colorimetric pH-indicative and flame-retardant nanocomposite films (NCFs) based on polyvinyl alcohol (PVA) and nanoclays for smart and safe food packaging applications. Tough, flexible, and transparent NCFs were obtained using 15% nanoclay loading (PVA-15) with superior properties, including low solubility/swelling in water and high thermal stability with flame-retardant behavior. The NCFs showed average mechanical properties that are comparable to commercial films for packaging applications. The color parameters were recorded at different pH values and the prepared NCFs showed distinctive colorimetric pH-responsive behavior during the transition from acidic to alkaline medium with high values for the calculated color difference (∆E ≈ 50). The prepared NCFs provided an effective way to detect the spoilage of the shrimp samples via monitoring the color change of the NCFs during the storage period. The current study proposes the prepared NCFs as renewable candidates for smart food packaging featuring colorimetric pH-sensing for monitoring food freshness as well as a safer alternative choice for applications that demand films with fire-retardant properties.

Isolation and characterization of microcrystalline cellulose from date seeds (Phoenix dactylifera L.).

This article reports the isolation and characterization of microcrystalline cellulose from date seeds of the date palm tree. The raw ground date seeds (RG-DS) are composed of cellulose matrix wrapped by lignin and hemicellulose as amorphous components. Cellulose was isolated from RG-DS through the following sequence: dewaxing, delignification/(bleaching) and acid hydrolysis. FTIR and Raman analysis for the bleached date seeds (B-DS) revealed the successful removal of the amorphous components from the polymer matrix. The X-ray diffractogram of the obtained (B-DS) exhibited the characteristic peaks of native cellulose (type I), with a crystallinity index (CrI = 62%). An additional acid hydrolysis step was used to convert native cellulose into microcrystalline cellulose (MCC-DS) with higher crystallinity (CrI = 70%). SEM analysis showed that the obtained microcrystals exhibit agglomerated and irregular elongated or semi-spherical shaped morphology. TEM analysis confirmed the semicrystalline nature of the MCC-DS. Thermal analysis showed enhanced thermal stability of MCC-DS. The current study shows the feasibility of using date seeds as a low-price source for obtaining MCC which is envisaged for applications in pharmaceutical and food industries as well as for preparing bionanocomposites with enhanced thermal properties.

A Flexible Optical pH Sensor Based on Polysulfone Membranes Coated with pH-Responsive Polyaniline Nanofibers.

A new optical pH sensor based on polysulfone (PSU) and polyaniline (PANI) was developed. A transparent and flexible PSU membrane was employed as a support. The electrically conductive and pH-responsive PANI was deposited onto the membrane surface by in situ chemical oxidative polymerization (COP). The absorption spectra of the PANI-coated PSU membranes exhibited sensitivity to pH changes in the range of 4-12, which allowed for designing a dual wavelength pH optical sensor. The performance of the membranes was assessed by measuring their response starting from high pH and going down to low pH, and vice versa. It was found that it is necessary to precondition the sensor layers before each measurement due to the slight hysteresis observed during forward and backward pH titrations. PSU membranes with polyaniline coating thicknesses in the range of ≈100-200 nm exhibited fast response times of <4 s, which are attributed to the porous, rough and nanofibrillar morphology of the polyaniline coating. The fabricated pH sensor was characterized by a sigmoidal response (R² = 0.997) which allows for pH determination over a wide dynamic range. All membranes were stable for a period of more than six months when stored in 1 M HCl solution. The reproducibility of the fabricated optical pH sensors was found to be <0.02 absorption units after one month storage in 1 M HCl solution. The performance of the optical pH sensor was tested and the obtained pH values were compared with the results obtained using a pH meter device.