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  1. Article ; Online: Machine learning algorithms for prediction of entrapment efficiency in nanomaterials.

    Fahmy, Omar M / Eissa, Rana A / Mohamed, Hend H / Eissa, Noura G / Elsabahy, Mahmoud

    Methods (San Diego, Calif.)

    2023  Volume 218, Page(s) 133–140

    Abstract: Exploitation of machine learning in predicting performance of nanomaterials is a rapidly growing dynamic area of research. For instance, incorporation of therapeutic cargoes into nanovesicles (i.e., entrapment efficiency) is one of the critical ... ...

    Abstract Exploitation of machine learning in predicting performance of nanomaterials is a rapidly growing dynamic area of research. For instance, incorporation of therapeutic cargoes into nanovesicles (i.e., entrapment efficiency) is one of the critical parameters that ensures proper entrapment of drugs in the developed nanosystems. Several factors affect the entrapment efficiency of drugs and thus multiple assessments are required to ensure drug retention, and to reduce cost and time. Supervised machine learning can allow for the construction of algorithms that can mine data available from earlier studies to predict performance of specific types of nanoparticles. Comparative studies that utilize multiple regression algorithms to predict entrapment efficiency in nanomaterials are scarce. Herein, we report on a detailed methodology for prediction of entrapment efficiency in nanomaterials (e.g., niosomes) using different regression algorithms (i.e., CatBoost, linear regression, support vector regression and artificial neural network) to select the model that demonstrates the best performance for estimation of entrapment efficiency. The study concluded that CatBoost algorithm demonstrated the best performance with maximum R
    MeSH term(s) Liposomes ; Machine Learning ; Nanostructures ; Algorithms ; Lipids
    Chemical Substances Liposomes ; Lipids
    Language English
    Publishing date 2023-08-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1066584-5
    ISSN 1095-9130 ; 1046-2023
    ISSN (online) 1095-9130
    ISSN 1046-2023
    DOI 10.1016/j.ymeth.2023.08.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Impact of dietary-nucleotides and Saccharomyces cerevisiae-derivatives on growth-performance, antioxidant-capacity, immune-response, small-intestine histomorphometry, caecal-

    Abo-Sriea, Tamer Mohamed / Ismael, Elshaimaa / Sobhi, Basant Mohsen / Hassan, Neven H / Elleithy, Ebtihal M M / Omar, Sherif AbdElmonam / Soliman, Ahmed M / Fahmy, Khaled Nasr El-Din / Ramadan, Amer

    International journal of veterinary science and medicine

    2024  Volume 12, Issue 1, Page(s) 11–24

    Abstract: Stress in poultry production is energy-demanding. Nucleotides and yeast cell-wall products are essential nutrients for broiler performance, gut function, and immune response. Antibiotics, like florfenicol, negatively affect the immune system. A total of ... ...

    Abstract Stress in poultry production is energy-demanding. Nucleotides and yeast cell-wall products are essential nutrients for broiler performance, gut function, and immune response. Antibiotics, like florfenicol, negatively affect the immune system. A total of 600 one-d-old broiler chickens (Cobb-500) were weighed and randomly allotted into four groups with three replicates each. The control group (G1) received the basal diet, G2 received a diet supplemented with a combination of nucleotides and
    Language English
    Publishing date 2024-03-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2720504-6
    ISSN 2314-4599 ; 2314-4599
    ISSN (online) 2314-4599
    ISSN 2314-4599
    DOI 10.1080/23144599.2024.2324411
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Predicting Cu(II) Adsorption from Aqueous Solutions onto Nano Zero-Valent Aluminum (nZVAl) by Machine Learning and Artificial Intelligence Techniques

    Ahmed H. Sadek / Omar M. Fahmy / Mahmoud Nasr / Mohamed K. Mostafa

    Sustainability, Vol 15, Iss 2081, p

    2023  Volume 2081

    Abstract: Predicting the heavy metals adsorption performance from contaminated water is a major environment-associated topic, demanding information on different machine learning and artificial intelligence techniques. In this research, nano zero-valent aluminum ( ... ...

    Abstract Predicting the heavy metals adsorption performance from contaminated water is a major environment-associated topic, demanding information on different machine learning and artificial intelligence techniques. In this research, nano zero-valent aluminum (nZVAl) was tested to eliminate Cu(II) ions from aqueous solutions, modeling and predicting the Cu(II) removal efficiency (R%) using the adsorption factors. The prepared nZVAl was characterized for elemental composition and surface morphology and texture. It was depicted that, at an initial Cu(II) level (C o ) 50 mg/L, nZVAl dose 1.0 g/L, pH 5, mixing speed 150 rpm, and 30 °C, the R% was 53.2 ± 2.4% within 10 min. The adsorption data were well defined by the Langmuir isotherm model ( R 2 : 0.925) and pseudo-second-order (PSO) kinetic model ( R 2 : 0.9957). The best modeling technique used to predict R% was artificial neural network (ANN), followed by support vector regression (SVR) and linear regression (LR). The high accuracy of ANN, with MSE < 10 −5 , suggested its applicability to maximize the nZVAl performance for removing Cu(II) from contaminated water at large scale and under different operational conditions.
    Keywords adsorption optimization ; aluminum-based nanoparticles ; Cu(II) ; linear regression ; neural network ; support vector regression ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Impact of Bariatric Surgery on Sexual Dysfunction in Obese Men.

    Fahmy, Ahmed / Abdeldaiem, Hussien / Abdelsattar, Mohamed / Aboyoussif, Tamer / Assem, Akram / Zahran, Abdelrahman / Elgebaly, Omar

    Sexual medicine

    2021  Volume 9, Issue 2, Page(s) 100322

    Abstract: ... biochemically. A Fahmy, H Abdeldaiem, M Abdelsattar, et al. Impact of Bariatric Surgery on Sexual Dysfunction ...

    Abstract Introduction: Currently bariatric surgery is the most effective treatment for significant and sustained weight loss. Erectile and endothelial dysfunctions may share some metabolic and vascular pathways in common that may be influenced by weight loss.
    Aim: The aim of the study was to assess the impact of surgically induced weight loss on the erectile function on obese patients undergoing laparoscopic sleeve gastrectomy (LSG). We also aimed to examine the proposed underlying mechanism associated with improvement in erectile function after weight loss by LSG.
    Methods: Eighty-two consecutive obese men who underwent a LGS were followed up for 12 months. All operations were performed by the same surgeon at a single institution.
    Main outcome measure: Patients were examined both before and after 12 months of LSG for biochemical tests; total serum cholesterol, triglyceride, C-reactive protein, interleukin-6, and endothelial nitric oxide synthase, and for erectile function tests. International Index of Erectile Function (IIEF) scores were recorded.
    Results: Eighty-two men (mean age 39 ± 14.6 years, range 24-62; mean BMI 41.2 ± 4.8 kg/m
    Conclusion: A significant improvement of erectile function was documented among obese young men undergoing LGS. This improvement was documented both clinically by improvement in IIEF score postoperatively and biochemically. A Fahmy, H Abdeldaiem, M Abdelsattar, et al. Impact of Bariatric Surgery on Sexual Dysfunction in Obese Men. Sex Med 2021;9:100322.
    Language English
    Publishing date 2021-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2734882-9
    ISSN 2050-1161
    ISSN 2050-1161
    DOI 10.1016/j.esxm.2021.100322
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Preparation of Liposomal Raloxifene-Graphene Nanosheet and Evaluation of Its

    Altyar, Ahmed E / Fahmy, Omar

    Dose-response : a publication of International Hormesis Society

    2022  Volume 20, Issue 1, Page(s) 15593258211063983

    Abstract: ... exhibited prolonged release of RLX for a longer period of 24 h, which can minimize the dose-related ...

    Abstract Background: In current years, researchers have shown their prime interest in developing multifunctional drug delivery systems, especially against cancers, for effective anticancer outcomes.
    Methodology: Raloxifene (RLX) loaded liposomal-graphene nanosheet (GNS) was developed. The novelty of this work was to enhance the solubilization of RLX and improvement of its bioavailability in the disease area. So, the selection of optimized formula design of experiment was implemented which produced the desired formula with the particle size of 156.333 nm. Further, encapsulation efficiency, in vitro release, and thermodynamic stability of optimized formulation were evaluated. The optimized formulation exhibited prolonged release of RLX for a longer period of 24 h, which can minimize the dose-related toxicity of the drug. Furthermore, optimized formulation demonstrated remarkable thermodynamic stability in terms of phase separation, creaming, and cracking.
    Results: The cytotoxicity study on the A549 cell line exhibited significant (
    Conclusion: From the findings of the study, it can be concluded that the novel optimized liposomal formulation could be pondered as a novel approach for the treatment of lung cancer.
    Language English
    Publishing date 2022-01-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2440820-7
    ISSN 1559-3258
    ISSN 1559-3258
    DOI 10.1177/15593258211063983
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Low-Dose Initiation of Buprenorphine: A Narrative Review.

    Edinoff, Amber N / Fahmy, Omar H / Spillers, Noah J / Zaheri, Alexa R / Jackson, Eric D / De Witt, Audrey J / Wenger, Danielle M / Cornett, Elyse M / Skidmore, Kimberly L / Kaye, Adam M / Kaye, Alan D

    Current pain and headache reports

    2023  Volume 27, Issue 7, Page(s) 175–181

    Abstract: Purpose of review: Opioid use disorder (OUD) is a chronic disorder in which a person loses control over the use of opioids, develops a compulsive behavior, and defends the use despite knowing the negative consequences. There are numerous treatments for ... ...

    Abstract Purpose of review: Opioid use disorder (OUD) is a chronic disorder in which a person loses control over the use of opioids, develops a compulsive behavior, and defends the use despite knowing the negative consequences. There are numerous treatments for OUD, including buprenorphine. Since it is displacing a full agonist opioid, precipitated withdrawal can occur with standard inductions involving buprenorphine.
    Recent findings: Case reports have noted success with a low-dose initiation of buprenorphine, which is different from typical protocols, relatively limited by adverse effects when patients were recently administered full agonists. A cohort investigation studied the use of a transdermal patch as part of the protocol, which was fairly well tolerated. While ongoing research is being conducted on this topic, recent case studies and smaller cohort studies have demonstrated the feasibility of a trial to treat OUD with low-dose initiation of buprenorphine.
    MeSH term(s) Humans ; Buprenorphine/therapeutic use ; Analgesics, Opioid/therapeutic use ; Opioid-Related Disorders/drug therapy ; Opiate Substitution Treatment/methods ; Chronic Disease
    Chemical Substances Buprenorphine (40D3SCR4GZ) ; Analgesics, Opioid
    Language English
    Publishing date 2023-04-21
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2055062-5
    ISSN 1534-3081 ; 1531-3433
    ISSN (online) 1534-3081
    ISSN 1531-3433
    DOI 10.1007/s11916-023-01116-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effect of renin angiotensin blockers on angiotensin converting enzyme 2 level in cardiovascular patients.

    Farid Fahmy, Sarah / El Derany, Marwa Omar / Khorshid, Hazem / Saleh, Ayman / El-Demerdash, Ebtehal

    BMC pharmacology & toxicology

    2023  Volume 24, Issue 1, Page(s) 24

    Abstract: Background: Renin-angiotensin-aldosterone system (RAAS) is hypothesized to be in the center of COVID pathophysiology as the angiotensin converting enzyme 2 (ACE2) represents the main entrance of the virus, thus there is a need to address the effect of ... ...

    Abstract Background: Renin-angiotensin-aldosterone system (RAAS) is hypothesized to be in the center of COVID pathophysiology as the angiotensin converting enzyme 2 (ACE2) represents the main entrance of the virus, thus there is a need to address the effect of chronic use of RAAS blockers, as in case of treatment of cardiovascular diseases, on the expression of ACE2. Accordingly, this study aimed to clarify the effect of ACE inhibitors (ACEIs) and angiotensin-receptor blockers (ARBs) on ACE2 and to assess the correlation between ACE2 and several anthropometric and clinic-pathological factors.
    Methods: A total of 40 healthy controls and 60 Egyptian patients suffering from chronic cardiovascular diseases were enrolled in this study. Patients were divided into 40 patients treated with ACEIs and 20 patients treated with ARBs. Serum ACE2 levels were assessed by ELISA.
    Results: Assessment of serum ACE2 level in different groups showed a significant difference between ACEIs and healthy groups and ACEIs and ARBs group, while there was no difference between ARBs and healthy. Multivariate analysis using ACE2 level as constant and age, female sex, ACEIs use and myocardial infarction (MI) showed that there was a significant effect of female sex and ACEIs use on ACE2 level with no effect of age, MI and diabetes.
    Conclusion: ACE2 levels varied between ACEIs and ARBs. It tends to be lower in ACEIs group and there is a strong positive association between ACE2 level and the female sex. This needs to be considered in Future studies to further understand the relationship between gender, sex hormones and ACE2 level.
    Trial registration: Retrospectively registered ClinicalTrials.gov ID: NCT05418361 (June 2022).
    MeSH term(s) Humans ; Female ; Angiotensin-Converting Enzyme Inhibitors/pharmacology ; Angiotensin-Converting Enzyme Inhibitors/therapeutic use ; Renin ; Angiotensins ; Angiotensin-Converting Enzyme 2/pharmacology ; Angiotensin Receptor Antagonists/pharmacology ; Angiotensin Receptor Antagonists/therapeutic use ; COVID-19 ; Renin-Angiotensin System ; Myocardial Infarction/chemically induced
    Chemical Substances Angiotensin-Converting Enzyme Inhibitors ; Renin (EC 3.4.23.15) ; Angiotensins ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23) ; Angiotensin Receptor Antagonists
    Language English
    Publishing date 2023-04-14
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2680259-4
    ISSN 2050-6511 ; 2050-6511
    ISSN (online) 2050-6511
    ISSN 2050-6511
    DOI 10.1186/s40360-023-00667-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Validation of artificial intelligence contrast mammography in diagnosis of breast cancer: Relationship to histopathological results.

    Helal, Maha / Khaled, Rana / Alfarghaly, Omar / Mokhtar, Omnia / Elkorany, Abeer / Fahmy, Aly / El Kassas, Hebatalla

    European journal of radiology

    2024  Volume 173, Page(s) 111392

    Abstract: Introduction: Contrast-enhanced mammography (CEM) is used for characterization of breast lesions with increased diagnostic accuracy compared to digital mammography (DM). Artificial intelligence (AI) approaches are emerging with accuracies equal to an ... ...

    Abstract Introduction: Contrast-enhanced mammography (CEM) is used for characterization of breast lesions with increased diagnostic accuracy compared to digital mammography (DM). Artificial intelligence (AI) approaches are emerging with accuracies equal to an average radiologist. However, most studies trained deep learning (DL) models on DM images and there is a paucity in literature for discovering the application of AI using CEM.
    Objectives: To develop and test a DL model that classifies CEM images and produces corresponding highlights of lesions detected.
    Methods: Fully annotated 2006 images of 326 females available from the previously published Categorized Digital Database for Contrast Enhanced Mammography images (CDD-CESM) were used for training. We developed a DL multiview contrast mammography model (MVCM) for classification of CEM low energy and recombined images. An external test set of 288 images of 37 females not included in the training was used for validation. Correlation with histopathological results and follow-up was considered the standard reference. The study protocol was approved by the Institutional Review Board and patient informed consent was obtained.
    Results: Assessment was done on an external test set of 37 females (mean age, 51.31 years ± 11.07 [SD]) with AUC-ROC for AI performance 0.936; (95 % CI: 0.898, 0.973; p < 0.001) and the best cut off value for prediction of malignancy using AI score = 0.28. Findings were then correlated with histopathological results and follow up which revealed a sensitivity of 75 %, specificity 96.3 %, total accuracy of 90.1 %, positive predictive value (PPV) 87.1 %, and negative predictive value (NPV) 92 %, p-value (<0.001). Diagnostic indices of radiologists were sensitivity 88.9 %, specificity 92.6 %, total accuracy 91.7 %, PPV 80 %, and NPV 96.2 %, p-value (<0.001).
    Conclusion: A deep learning multiview CEM model was developed and evaluated in a cohort of female participants and showed promising results in detecting breast cancer. This warrants further studies, external training, and validation.
    MeSH term(s) Female ; Humans ; Middle Aged ; Breast Neoplasms/pathology ; Artificial Intelligence ; Sensitivity and Specificity ; Mammography/methods ; Breast/diagnostic imaging ; Retrospective Studies
    Language English
    Publishing date 2024-02-23
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 138815-0
    ISSN 1872-7727 ; 0720-048X
    ISSN (online) 1872-7727
    ISSN 0720-048X
    DOI 10.1016/j.ejrad.2024.111392
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Green Nanoemulsion Stabilized by In Situ Self-Assembled Natural Oil/Native Cyclodextrin Complexes: An Eco-Friendly Approach for Enhancing Anticancer Activity of Costunolide against Lung Cancer Cells.

    Alhakamy, Nabil A / Badr-Eldin, Shaimaa M / Ahmed, Osama A A / Aldawsari, Hibah M / Okbazghi, Solomon Z / Alfaleh, Mohamed A / Abdulaal, Wesam H / Neamatallah, Thikryat / Al-Hejaili, Omar D / Fahmy, Usama A

    Pharmaceutics

    2022  Volume 14, Issue 2

    Abstract: Lung cancer is the second-most deadly malignancy worldwide, of which smoking is considered a major risk factor and causes 75-80% of lung cancer-related deaths. Costunolide (CTD) extracted from plant ... ...

    Abstract Lung cancer is the second-most deadly malignancy worldwide, of which smoking is considered a major risk factor and causes 75-80% of lung cancer-related deaths. Costunolide (CTD) extracted from plant species
    Language English
    Publishing date 2022-01-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527217-2
    ISSN 1999-4923
    ISSN 1999-4923
    DOI 10.3390/pharmaceutics14020227
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Neoadjuvant Therapy Using Checkpoint Inhibitors before Radical Cystectomy for Muscle Invasive Bladder Cancer: A Systematic Review.

    Shsm, Hadi / Fahmy, Usama A / Alhakamy, Nabil A / Khairul-Asri, Mohd G / Fahmy, Omar

    Journal of personalized medicine

    2021  Volume 11, Issue 11

    Abstract: Background: Neoadjuvant chemotherapy is the standard of care before radical cystectomy for muscle invasive bladder cancer. Recently, checkpoint inhibitors have been investigated as a neoadjuvant treatment after the reported efficacy of checkpoint ... ...

    Abstract Background: Neoadjuvant chemotherapy is the standard of care before radical cystectomy for muscle invasive bladder cancer. Recently, checkpoint inhibitors have been investigated as a neoadjuvant treatment after the reported efficacy of checkpoint inhibitors in metastatic urothelial carcinoma.
    Objectives: The aim of this systematic review is to investigate the role of checkpoint inhibitors as a neoadjuvant treatment for muscle invasive bladder cancer before radical cystectomy.
    Methods: Based on the PRISMA statement, a systematic review of the literature was conducted through online databases and the American Society of Clinical Oncology (ASCO) Meeting Library. Suitable publications were subjected to full-text assessment. The primary outcome of this review was to identify the impact of neoadjuvant immunotherapy on the oncological outcomes and survival benefits.
    Results: From the retrieved 254 results, 8 studies including 404 patients were included. Complete response varied between 30% and 50%. Downstaging varied between 50% and 74%. ≥Grade 3 AEs were recorded in 8.6% of patients who received monotherapy with either Atezolizumab or Pembrolizumab. In patients who received combination treatment, the incidence of ≥Grade 3 AEs was 16.3% for chemoimmunotherapy and 36.5% for combined immunotherapy. A total of 373 patients (92%) underwent radical cystectomy. ≥Grade 3 Clavien-Dindo surgical complications were reported in 21.7% of the patients. One-year overall survival (OS) and relapse-free survival (RFS) varied between 81% and 92%, and 70% and 88%, respectively.
    Conclusion: The evidence on the use of immune checkpoint inhibitors in the setting of pre-radical cystectomy is quite limited, with noted variability within published trials. Combination with chemotherapy or another checkpoint inhibitor may boost response, although prospective studies with extended follow-up are needed to report on the survival advantages.
    Language English
    Publishing date 2021-11-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm11111195
    Database MEDical Literature Analysis and Retrieval System OnLINE

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