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Browsing Articles by Subject "Diseases"

Browsing Articles by Subject "Diseases"

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  • The Impact of Mucormycosis (Black Fungus) on SARS-CoV-2-Infected Patients 
    Islam, Md. Rezaul; Rahman, Md. Mominur; Ahasan, Md. Tanjimul; Sarkar, Nadia; Akash, Shopnil; Islam, Mahfuzul; Islam, Fahadul; Aktar, Most. Nazmin; Saeed, Mohd; Harun-Or-Rashid, Md.; Hosain, Md. Kawsar; Rahaman, Md. Saidur; Afroz, Sadia; Bibi, Shabana; Rahman, Md. Habibur; Sweilam, Sherouk Hussein (Daffodil International University, 22-08-19)
    The emergence of various diseases during the COVID-19 pandemic made health workers more attentive, and one of the new pathogens is the black fungus (mucormycosis). As a result, millions of lives have already been lost. As ...
  • Impact of Nutrition in Brain Function and Development 
    Rahman, Md Mominur; Islam, Md Rezaul; Emran, Talha Bin (Scopus, 22-09-13)
    Dear editor, The importance of diet in health and disease has been recognized since the dawn of time. Hippocrates wrote the proverb "Let food be thy medicine and medicine be thy food" approximately 400 B.C. Moses Maimonides, ...
  • An Improved Optimization Algorithm-Based Prediction Approach for the Weekly Trend of COVID-19 Considering the Total Vaccination in Malaysia 
    Ahmed, Marzia; Sulaiman, Mohd Herwan; Mohamad, Ahmad Johari; Rahman, Mostafijur (Springer, 2023-05-28)
    SARS-CoV-2 is a multi-organ disease characterized by a wide range of symptoms, which also causes the severe acute respiratory syndrome. When it initially began, it rapidly spread from its origin to adjacent nations, infecting ...
  • Improved Vision-Based Diagnosis of Multi-Plant Disease Using an Ensemble of Deep Learning Methods 
    Hridoy, Rashidul Hasan; Arni, Arindra Dey; Haque, Aminul (Institute of Advanced Engineering and Science (IAES), 2023-10-15)
    Farming and plants are crucial parts of the inward economy of a nation, which significantly boosts the economic growth of a country. Preserving plants from several disease infections at their early stage becomes cumbersome ...
  • In Silico and Ex Vivo Analyses of the Inhibitory Action of the Alzheimer Drug Posiphen and Primary Metabolites With Human Acetyl- and Butyrylcholinesterase Enzymes 
    Batool, Sidra; Furqan, Tiyyaba; Mahmood, Muhammad Sibte Hasan; Tweedie, David; Kamal, Mohammad A.; Greig, Nigel H. (Daffodil International University, 2022-02-11)
    Alzheimer’s disease (AD) is the most common neurodegenerative disorder worldwide. Ongoing research to develop AD treatments has characterized multiple drug targets including the cholinergic system, amyloid-β peptide, ...
  • In Silico Investigation and Potential Therapeutic Approaches of Natural Products for COVID-19 
    Rahman, Md. Mominur; Islam, Md. Rezaul; Akash, Shopnil; Mim, Sadia Afsana; Rahaman, Md. Saidur; Emran, Talha Bin; Akkol, Esra Küpeli; Sharma, Rohit; Alhumaydhi, Fahad A.; Sweilam, Sherouk Hussein; Hossain, Md. Emon; Ray, Tanmay Kumar; Sultana, Sharifa; Ahmed, Muniruddin; Sobarzo-Sa´nchez, Eduardo; Wilairatana, Polrat (Daffodil International University, 2022-08-22)
    The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a substantial number of deaths around the world, making it a serious and pressing public health hazard. Phytochemicals could thus provide a rich ...
  • In Vitro Alpha-Amylase Enzyme Assay of Hydroalcoholic Polyherbal Extract 
    Unknown author (Daffodil International University, 2022-05-12)
    For the treatment and maintenance of postprandial blood glucose increases (i.e., diabetes mellitus), alpha (α)-amylase is a well-known therapeutic target. In this paper, we report an initial exploration of the work, i.e., ...
  • The Inhibitory Effect of Polyphenon 60 from Green Tea on Melanin and Tyrosinase in Zebrafish and A375 Human Melanoma Cells 
    Kazi, Mehar Ali; Sahito, Reshma; Abbas, Qamar; Ullah, Sana; Majid, Abdul; Phull, Abdul Rehman; Rahman, Md. Mominur; Kim, Song Ja (Daffodil International University, 2022-09-02)
    Polyphenon 60 (PP60) from green tea has long been used as an antioxidant, anticancer, antimicrobial, and antimutagenic. Aim of the Study. To investigate tyrosinase inhibition-related kinetic mechanism and antimelanogenesis ...
  • An Intelligent Thyroid Diagnosis System Utilising Multiple Ensemble and Explainable Algorithms with Medical Supported Attributes 
    Sutradhar, Ananda; Al Rafi, Mustahsin; Ghosh, Pronab; Shamrat, F. M.Javed Mehedi; Moniruzzaman, Md.; Ahmed, Kawsar; Azad, AKM; Bui, Francis M.; Chen, Li; Moni, Mohammad Ali (Elsevier, 2023-01-15)
    The widespread impact of thyroid disease and its diagnosis is a challenging task for healthcare experts. The conventional technique for predicting such a vital disease is complex and time-consuming. A data-driven approach ...
  • Investigating Polyphenol Nanoformulations for Therapeutic Targets against Diabetes Mellitus 
    Islam, Fahadul; Khadija, Jannatul Fardous; Islam, Md. Rezaul; Shohag, Sheikh; Mitra, Saikat; Alghamdi, Saad; Babalghith, Ahmad O.; Theyab, Abdulrahman; Rahman, Mohammad Tauhidur; Akter, Aklima; Mamun, Abdullah Al; Alhumaydhi, Fahad A.; Emran, Talha Bin (Daffodil International University, 2022-06-21)
    Diabetes mellitus (DM) is a fatal metabolic disorder, and its prevalence has escalated in recent decades to a greater extent. Since the incidence and severity of the disease are constantly increasing, plenty of therapeutic ...
  • Investigation and Drug Design for Novel Molecules From Natural Products As Inhibitors for Controlling Multiple Myeloma Disease Using In-Silico Tools 
    Zari, Ali; Kurdi, Lina A. F.; Jaber, Fatima A; Alghamdi, Khalid M S; Zari, Talal A; Bahieldin, Ahmed; Hakeem, Khalid Rehman; Alnahdi, Hanan S.; Edris, Sherif; Ashraf, Ghulam Md (Taylor & Francis Group, 2024-01-03)
    The demand for energy across the world is constantly rising. Therefore remarkable endeavors have been dedicated to the development of high-performance energy storage devices with nanoscale design and hybrid approaches. ...
  • Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images 
    Shanmugavadivel, Kogilavani; Sathishkumar, V. E.; Kumar, M. Sandeep; Maheshwari, V.; Prabhu, J.; Allayear, Shaikh Muhammad (Daffodil International University, 2022-09-12)
    The level of patient’s illness is determined by diagnosing the problem through different methods like physically examining patients, lab test data, and history of patient and by experience. To treat the patient, proper ...
  • Knowledge, Attitude and Practices Toward Coronavirus Disease (COVID- 19) in Southeast and South Asia: 
    Rahman, Mohammad Meshbahur; Marzo, Roy Rillera; Chowdhury, Shanjida; Qalati, Sikandar Ali; Hasan, Mohammad Nayeem; Paul, Gowranga Kumar; Abid, Khadijah; Sheferaw, Wegayehu Enbeyle; Mariadass, Angela; Chandran, Divitra; Kanan, Shasvini; Firdaus, Ahmad Umar Shafie Bin Ahmad; Sabarin, Fatimah Az Zahra Binti; Lin, Yulan (Daffodil International University, 2022-06-21)
    Background: Coronavirus has spread to almost every country since its emergence in Wuhan, China and countries have been adopted an array ofmeasures to control the rapid spread of the epidemic. Here, we aimed to assess the ...
  • Leaves Diseases Detection of Tomato Using Image Processing 
    Mim, Tahmina Tashrif; Sheikh, Md. Helal; Shampa, Roksana Akter; Reza, Md. Shamim; Islam, Md. Sanzidul (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06)
    Today's era is an era of Scientific Development. Where, technologies and new ways of solving real-life problems are being invented every day. With the increasing population of the world, basic need of food is increasing ...
  • Lumateperone Interact with S-Protein of Ebola Virus and Tim-1 of Human Cell Membrane 
    Muzammal, Muhammad; Firoz, Ahmad; Ali, Hani Mohammed; Khan, Muzammil Ahmad; Hakeem, Khalid Rehman (Daffodil International University, 22-09-29)
    The Ebola virus outbreak in Africa is an unparalleled risk to society and to human health. Interventions that utilize the host cell receptor TIM-1 and the viral spike protein (S-protein) can be considered effective and ...
  • Lung Disease Classification Using Deep Learning Models from Chest X-ray Images 
    Sultana, Salma; Pramanik, Anik; Rahman, Md. Sadekur (IEEE, 2023-03-27)
    In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis cause a large number of deaths because they all affect the lungs. ...
  • A Machine Learning Approach to Detect the Brain Stroke Disease 
    Akter, Bonna; Rajbongshi, Aditya; Sazzad, Sadia; Shakil, Rashiduzzaman; Biswas, Jahanur; Sara, Umme (Daffodil International University, 2022-03-15)
    The brain, which comprises the cerebrum, cere-bellum, and brainstem and is covered by the skull, is a very complex and intriguing organ in the human body. Stroke is the world's second-leading cause of mortality; as a result, ...
  • A Machine Learning Approach to Predict SEER Cancer 
    Abid, DM. Mehedi Hasan; Islam, Tariqul; Zaman, Zahura; Yusuf, Fahim; Assaduzzaman, Md.; Hossain, Syed Akhter; Jabiullah, Md. Ismail (Springer, 2022-07-27)
    The SEER database is among the persuading stores regarding malignancy pointers inside us. The SEER list helps impact investigation for the gigantic measure of patients’ bolstered viewpoints for the most part ordered as an ...
  • Machine Learning Approaches to Predict Breast Cancer 
    Islam, Taminul; Kundu, Arindom; Khan, Nazmul Islam; Bonik, Choyon Chandra; Akter, Flora; Islam, Md. Jihadul (Daffodil International University, 2022-06-20)
    Nowadays, Breast cancer has risen to become one of the most prominent causes of death in recent years. Among all malignancies, this is the most frequent and the major cause of death for women globally. Manually diagnosing ...
  • Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics 
    Rahman, Md. Ashikur; Abdulrazak, Lway Faisal; Ali, Md. Mamun; Mahmud, Imran; Ahmed, Kawsar; Bui, Francis M. (MDPI Publications, 2023-10-29)
    Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in the human body. From a clinical perspective, the most significant approach to mitigating the effects of diabetes is early-stage ...

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