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Taha, N. F. H., and H. A. E. Sebaee, "Concerns Regarding Organ Donation among Adult Patients with Different Health Problems in Egypt", Journal of Biology, Agriculture and Healthcare , vol. Vol.4, , issue No.21, pp. 17-29, 2014. concerns_regarding_organ_donation_among_adult_patients_with_different_health_problems_in_egypt_.pdf
Taha, M. H. N., M. Loey, M. H. N. Taha, and H. N. E. T. Mohamed, "Deep Transfer Learning Models for Medical Diabetic Retinopathy Detection.", Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, vol. 27, issue 5, pp. 327-332, 2019. Abstract6-1579457250.pdf

Introduction: Diabetic retinopathy (DR) is the most common diabetic eye disease worldwide and a leading cause of blindness. The number of diabetic patients will increase to 552 million by 2034, as per the International Diabetes Federation (IDF).

Aim: With advances in computer science techniques, such as artificial intelligence (AI) and deep learning (DL), opportunities for the detection of DR at the early stages have increased. This increase means that the chances of recovery will increase and the possibility of vision loss in patients will be reduced in the future.

Methods: In this paper, deep transfer learning models for medical DR detection were investigated. The DL models were trained and tested over the Asia Pacific Tele-Ophthalmology Society (APTOS) 2019 dataset. According to literature surveys, this research is considered one the first studies to use of the APTOS 2019 dataset, as it was freshly published in the second quarter of 2019. The selected deep transfer models in this research were AlexNet, Res-Net18, SqueezeNet, GoogleNet, VGG16, and VGG19. These models were selected, as they consist of a small number of layers when compared to larger models, such as DenseNet and InceptionResNet. Data augmentation techniques were used to render the models more robust and to overcome the overfitting problem.

Results: The testing accuracy and performance metrics, such as the precision, recall, and F1 score, were calculated to prove the robustness of the selected models. The AlexNet model achieved the highest testing accuracy at 97.9%. In addition, the achieved performance metrics strengthened our achieved results. Moreover, AlexNet has a minimum number of layers, which decreases the training time and the computational complexity.

Taha, M. S., G. M. Cresswell, J. Park, W. Lee, T. L. Ratliff, and Y. Yeo, "Sustained Delivery of Carfilzomib by Tannic Acid-Based Nanocapsules Helps Develop Antitumor Immunity", Nano LettersNano Letters, vol. 19, issue 11: American Chemical Society, pp. 8333 - 8341, 2019. AbstractWebsite
Taha, S. I., M. Y. Elzanaty, S. M. Abdelmageed, A. E. - H. E. I. Sherbini, and W. M. Badawy, "Effect of Bobath Concept Combined with Task-Oriented Exercises on Improving Postural Stability in Chronic Stroke Patients: A Randomized Controlled Trial.", International Journal of Clinical and Experimental Neurology, vol. 6, issue 1, pp. 8-11, 2018.
Taha, E. H., and N. Abu-Shady, "Effect of Silver Nanoparticles on the Mortality Pathogenicity and Reproductivity of Entomopathogenic Nematodes.", International Journal of Zoological Research,, vol. 12, issue (3-4), pp. 47-50, 2016. Abstract
Taha, M. H. N., M. H. N. Taha, A. E. Hassanien, and H. N. E. T. Mohamed, "Deep Iris: Deep Learning for Gender Classification Through Iris Patterns.", Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, vol. 27, issue 2, pp. 96-102, 2019. Abstract

Introduction: One attractive research area in the computer science field is soft biometrics.

Aim: To Identify a person's gender from an iris image when such identification is related to security surveillance systems and forensics applications.

Methods: In this paper, a robust iris gender-identification method based on a deep convolutional neural network is introduced. The proposed architecture segments the iris from a background image using the graph-cut segmentation technique. The proposed model contains 16 subsequent layers; three are convolutional layers for feature extraction with different convolution window sizes, followed by three fully connected layers for classification.

Results: The original dataset consists of 3,000 images, 1,500 images for men and 1,500 images for women. The augmentation techniques adopted in this research overcome the overfitting problem and make the proposed architecture more robust and immune from simply memorizing the training data. In addition, the augmentation process not only increased the number of dataset images to 9,000 images for the training phase, 3,000 images for the testing phase and 3,000 images for the verification phase but also led to a significant improvement in testing accuracy, where the proposed architecture achieved 98.88%. A comparison is presented in which the testing accuracy of the proposed approach was compared with the testing accuracy of other related works using the same dataset.

Conclusion: The proposed architecture outperformed the other related works in terms of testing accuracy.

Taha, E. A., M. A. Mekky, H. D. Gaber, R. M. Abdel-Gaber, A. M. Zahran, E. S. H. Abd Allah, A. Q. Mohamed, A. H. Hasaballah, T. Mostafa, and H. F. Hetta, "Impact of chronic hepatitis B virus infection on semen parameters of fertile men", Future Virol, vol. 14, issue 8, pp. 515-522, 2019.
Taha, H. M., N. El-Bendary, A. E. Hassanien, Y. Badr, and V. Snasel, "Retinal feature-based registration schema", Informatics engineering and information science: Springer Berlin Heidelberg, pp. 26–36, 2011. Abstract
Taha, M. H. N., M. H. N. Taha, and N. E. M. Khalifa, "Blockchain Technology and Machine Learning for Fake News Detection", Implementing and Leveraging Blockchain Programming, Singapore, Springer, 2022.
Taha, A. A., and J. A. Rauwerda, "Intra-operative monitoring during Carotid Endarterectomy, Evaluation of Selective shunting", Kasr El-Aini Medical Journal, vol. 20, issue Dec. 1998, pp. 44-48, 1997.
Taha, A. A., "Renal Artery Stenting; Challenges & Solutions.", The first Orient Endovascular Symposium, , Aleppo, Syria. , June , 2007.
Taha, H. E., M. S. Bayoumi, G. M. El-Bayoumi, and S. D. Hassan, "Aircraft Guidance System Logic Design for a Fully Autonomous Mission", 12-th International Conference on Aerospace science and Aviation Technology (ASAT), MTC, Cairo, Egypt, 2009.
Taha, R. H., H. E. A. Gendy, M. A. Kamal, and F. E. M. Guindy, "Suspension recession of inferior oblique versus graded recession technique in V-pattern strabismus with primary inferior oblique overaction", Delta Journal of Ophthalmology, vol. 18, issue 3, pp. 176-181, 2017.
Taha, A. M., M. M. Aboulwafa, H.Zedan, and O. M. Helmy, "Ramucirumab combination with sorafenib enhances the inhibitory effect of sorafenib on HepG2 cancer cells.", Scientific Reports, vol. 12:, pp. 17889, 2022.
Taha, E. A., S. K. Sayed, N. M. Ghandour, A. M. Mahran, M. A. Saleh, M. M. Amin, and R. Shamloul, "Correlation between seminal lead and cadmium and seminal parameters in idiopathic oligoasthenozoospermic males.", Central European Journal of Urology, vol. 66, no. 1, 2012. Abstract
Taha, M., D. labib, Y. Baghdady, NehalEl-Ghobashy, and A. A. Elamragy, "Subclinical left ventricular dysfunction during systemic lupus erythematosus activity with follow-up after remission – A speckle tracking echocardiographic study", The Egyptian Rheumatologist journal, vol. 44, pp. 279-285, 2022.
Taha, S., and X. Shen, Securing IP Mobility Management for Vehicular Ad Hoc Networks, , Canada, Springer,, 2013.
Taha, N. M., S. H. I. M. A. A. ABDEL-RADI, F. S. Youssef, H. E. N. D. M. AUDA, M. M. El-Bahy, and R. M. Ramadan, "Parasiticidal efficacy of a new formulation of silver nanoparticles on Trichinella spiralis in vitro", Journal of Advanced Veterinary Research , vol. 12, issue 4, pp. 379-385, 2022.
Taha, M. H., M. M. Abdallah, and A. A. A. El-Monem, "Improving salinity tolerance and yield of Barley (Horde vulgare L.) plants using Arginine", International Journal of Academic Research, vol. 5, issue 5, pp. 29-38, 2013.
Taha, M., O. G. Shaker, enas abdelsalam, and noha taha, "Serum a proliferation-inducing ligand and MicroRNA-223 are associated with rheumatoid arthritis: diagnostic and prognostic applications", molecular medicine, vol. 26, issue 92, pp. 1-9, 2020.
Taha, A. A., A. Noureldeen, M. Ragab, and R. A. ali, "Flexor tendon repair outcomes with fat grafting", European Journal of Plastic Surgery, vol. 44, pp. 237-242, 2021. flexor_tendon_repair.pdf
Taha, S. H., M. A. Mehrez, M. Z. Sitohy, A. G. I. Abou Dawood, M. Abdel-Hamid, and W. H. Kilany, "Effectiveness of esterified whey proteins fractions against Egyptian Lethal Avian Influenza A (H5N1)", Virology Journal, vol. 7, 2010. AbstractWebsite
Taha, N. M., F. S. Youssef, H. E. N. D. M. AUDA, M. M. El-Bahy, and R. M. Ramadan, "Efficacy of silver nanoparticles against Trichinella spiralis in mice and the role of multivitamin in alleviating its toxicity.", Scientific reports, vol. 14, issue 1, pp. 5843, 2024. Abstract

Trichinellosis is a worldwide zoonotic disease. The majority of currently available anti-trichinellosis medications exhibit inadequate efficacy. The efficacy of a natively prepared new formulation of silver nanoparticles (Ag-NPs) was evaluated in the treatment of Trichinella spiralis (T. spiralis) infection in mice alone and combined with multivitamin-mineral (MM). After investigating the product's biological and pharmacological characteristics, its therapeutic dose was estimated to be Ag-NPs at 21.5 mg/kg B.W. This dose was orally inoculated to experimentally infected mice at 3-5 days post-inoculation (dpi) against the mature worms, at 8-10 dpi against the newborn larvae, and at 33-35th dpi against the encapsulated larvae. Each treatment's efficacy was assessed by scarifying control and treated mice 3 days post-treatment. The drug alone or in supplement form has a high trichinocidal effect exceeding that of the reference drug. Early treatment (3-5 dpi) by Ag-NPs or Ag-NPs + MM and albendazole revealed high efficacy against the intestinal stage, reaching 93.3%, 94.7%, and 90.6% for the three treatments, respectively. The materials causing a significant (P-value < 0.001) decrease in the mean encapsulated larvae reached 86.61%, 89.07%, and 88.84%/gm of muscles using the three treatments, respectively. Moreover, all larvae extracted from Ag-NPs-treated groups failed to induce infection post-inoculation in new mice. Additionally, combining the material with MM proved to overcome the reversible adverse effects of silver material on the estimated redox parameters and liver and kidney biomarkers, denoting its ability to alleviate Ag-NP toxicity. In conclusion, the high trichinocidal effect of Ag-NPs against the adult and encapsulated larvae during a short inoculation period introduced Ag-NPs as an alternative to other nematicidal drugs.

Taha, H., H. Elzomor, A. Alei Eldin, A. Elhaddad, R. Nour, S. M. Zaghloul, and A. S. Alfaar, "Pathological findings of Retinoblastoma in Egypt; implementing CAP protocol in developing countries.", International Society of Genetic Eye Diseases and Retinoblastoma meeting., Gent, Belgium, 2013. Abstract

Introduction / Purpose: Retinoblastoma is the most common intra-ocular tumour of childhood. Radiotherapy and chemotherapy has improved survival for the disease over the last 40 years. Looking for prognostic criteria is one of the major research areas that inspires disease management teams all-over the world. Many protocols were designed over the years to correlate the presence of certain pathological and/or molecular features and prognosis of the disease. Children’s Cancer Hospital Egypt 57357 (CCHE) is a new cancer center in Egypt that serves about 25-40% of the pediatric oncology population in the country. The aim of this study is to present the histopathological findings in Egypt leading pediatric oncology center and impact of implementing CAP protocol on the improvement of patient care. Materials & Methods: CCHE Retinoblastoma study team implemented College of American Pathologist (CAP) protocol of Retinoblastoma version 3.0 (Based on AJCC/UICC TNM, 7th edition) for examining enucleation specimens. Pathology team has conducted an internal training for pathologists. New electronic case report forms (eCRFs) were designed for reporting the progress. Real-time online statistical analysis system was integrated with eCRFs. Implementation included prospective processing and data entry of new specimens properties beside revising of all specimens prior to the implementation of the protocol. Healthcare quality measures included required time for releasing the reports. Results: Between July 2007 and May 2013 we’ve examined 198 enucleation specimens. Mean of all ocular diameters was 22.2 mm. Mean Optic nerve stump length was 6.35 mm. Invaded structures included Cornea (5.3%), Anterior chamber (15.4%), Iris (8.3%), Lens (5.9%), Ciliary body (18.3%), Choroid, (72.2%), Sclera (17.2%), and Orbital tissue (7.1%). Any degree of Optic Nerve invasion was noted in 51% of specimens while surgical margin was involved in 10.8%. Validation rules in eCRFs helped the team to complete missing data and provide systematic reporting. Integrated online analysis system provided a real-time reporting facility for detecting protocol implementation progress. Conclusions / Significance: Implementing CAP retinoblastoma protocol resembled a roadmap for improving patients’ care. It supported the systematic reporting of cases, decreasing errors and missing data and provided research informatics team with a blueprint for developing a real-time monitoring system. This system can be integrated in the practice of emerging teams to ensure adherence to quality measures.