DSpace Repository

Browsing Articles by Subject "Diseases"

Browsing Articles by Subject "Diseases"

Sort by: Order: Results:

  • Cyclodextrin Nanoparticles in Targeted Cancer Theranostics 
    Bose, Roshnee; Jayawant, Maharsh; Raut, Rajesh; Roy, Arpita; Alghamdi, Saad; Qusty, Naeem F.; Sharma, Rohit; Verma, Devvret; Khandaker, Mayeen Uddin; Almujally, Abdullah; Tamam, Nissren; Sulieman, Abdelmoneim (Europe Pub Med Central, 2023-08-03)
    The field of cancer nanotheranostics is rapidly evolving, with cyclodextrin (CD)-based nanoparticles emerging as a promising tool. CDs, serving as nanocarriers, have higher adaptability and demonstrate immense potential ...
  • A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention 
    Majeed, Mokhalad A.; Shafri, Helmi Zulhaidi Mohd; Zulkafli, Zed; Wayayok, Aimrun (MDPI, 2022-02-25)
    Dengue is a very common disease typically found in a widespread hot region. It is a deadly disease caused by female Aedes mosquitoes. Patients who have diagnosed with different types of dengue needed different types of ...
  • Deep Learning Approach for Detecting and Localizing Brain Tumor From Magnetic Resonance Imaging Images 
    Arefin, Abu Shahed Shah Md. Nazmul; Ishti, Shah Mohd Ishtiaque Ahammed Khan; Akter, Mst. Marium; Jahan, Nusrat (Institute of Advanced Engineering and Science (IAES), 2023-03-15)
    Brain is the most important part of the nervous system. Brain tumor is mainly a mass or growth of abnormal tissues in a brain. Early detection of brain tumor can reduce complex treatment process. Magnetic resonance images ...
  • A Deep Learning Approach to Detect and Classification of Lung Cancer 
    Khatun, Mst. Farhana; Ajmain, Moshfiqur Rahman; Assaduzzaman, Md. (IEEE, 2023-01-26)
    Cancer is a name of fear to people in the world. Ev- ery year millions of people dead of cancer in the world and lung cancer is one of them. Lung cancer is classified by our research. Non-small cell lung cancer (NSCLC) ...
  • A Deep Learning Approach to Detect Breast Cancer Disease from Mammogram Images 
    Sohel, Amir; Hossain, Shahed; Hasan, Md Umaid; Islam, Onamika; Das, Utpal Chandra; Rahman, Md. Mahfuzur (IEEE, 2023-12-15)
    Breast cancer is a significant cause of mortality among women. Breast cancer is regarded as the most severe concern among women. The early detection of breast cancer can potentially impact mortality rates significantly. ...
  • Deep Learning Approaches for Diabetic Retinopathy Detection by Image Classification 
    Bhimavarapu, Usharani; Battineni, Gopi (Daffodil International University, 2022-12-28)
    Diabetic retinopathy (DR) is among the most prevalent eye diseases that can result in blindness and vision loss if left untreated. Early detection of vision impairment might slow or stop its progression. Manual diagnosis ...
  • Deep Transfer Learning Approaches for Monkey Pox Disease Diagnosis 
    ManjurulAhsan, Md.; Uddin, Muhammad Ramiz; Ali, Md. Shahin; Islam, Md. Khairul; Farjana, Mithila; Sakib, Ahmed Nazmus; Momin, Khondhaker Al; Luna, Shahana Akter (Elsevier, 2023-04-15)
    Monkeypox has become a significant global challenge as the number of cases increases daily. Those infected with the disease often display various skin symptoms and can spread the infection through contamination. Recently, ...
  • Dengue: A Brief Insight 
    Sultana, Sharmin; Muhammad, Faisal; Chowdhury, ABM Alauddin; Mehriban, Nadira; Khan, Salim (Bentham Science Publishers Ltd., 2023-06-22)
    Dengue is the second most dangerous vector-borne disease worldwide in terms of incidence and mortality rate [1]. Many nations are experiencing dengue outbreaks, including the Americas, Africa, the Middle East, Asia, and ...
  • Depression Prognosis Using Natural Language Processing and Machine Learning From Social Media Status 
    Hossain, Md. Tazmim; Talukder, Md. Arafat Rahman; Jahan, Nusrat (Daffodil International University, 2022-01-23)
    Depression is an acute problem throughout the world. Due to worst and prolong depression many people dies in every year. The problem is that most of the people are not concern of the fact that they are suffering from ...
  • Design and Development of New Inhibitors Against Breast Cancer, Monkeypox and Marburg Virus by Modification of Natural Fisetin via In Silico and SAR Studies 
    Akash, Shopnil; Rahman, Md Mominur; Lima, Clara Mariana Gonçalves; Emran, Talha Bin; Sultana, Sharifa; Naz, Sumaira; Aziz, Tariq; Alharbi, Metab; Alshammari, Abdulrahman; Alasmari, Abdullah F. (Europe Pub Med Central Pub, 2023-09-07)
    The natural Fisetin and its derivatives have been shown to have effective bioactivity and strong pharmacological profile, which is continuously drawing the interest of therapeutic applications to the development of new ...
  • Determinants and Predictors of Mental Health During and After COVID-19 Lockdown Among University Students in Malaysia 
    Mir, Imtiyaz Ali; Ng, Shang Kuan; Jamali, Muhammad Noh Zulfikri Mohd; Jabbar, Mohammed AbdulRazzaq; Humayra, Syeda (PLOS ONE, 2023-01-20)
    "Background: Young adults, particularly university students might be at greater risk of developing psychological distress, and exhibiting symptoms of anxiety and depression during the COVID-19 pandemic. The primary objective ...
  • DFU_MultiNet: A Deep Neural Network Approach for Detecting Diabetic Foot Ulcers Through Multi-Scale Feature Fusion Using the DFU Dataset 
    Biswas, Shuvo; Mostafiz, Rafid; Paul, Bikash Kumar; Uddin, Khandaker Mohammad Mohi; Rahman, Md Masudur; Shariful, F.N.U. (IEEE, 2023-11-28)
    Diabetic foot ulcer (DFU) is a common problem among people with diabetes that can result in amputation of the affected limb. Modern DFU treatment and diagnosis methods are expensive and time-consuming. Today, the development ...
  • Diabetes Among Adults in Bangladesh 
    Chowdhury, Muhammad Abdul Baker; Islam, Mirajul; Rahman, Jakia; Uddin, Md Jamal; Haque, Md. Rabiul (Daffodil International University, 2022-08-05)
    Objective/research question To investigate the change in the prevalence and risk factors of diabetes among adults in Bangladesh between 2011 and 2018. Design The study used two waves of nationally representative ...
  • Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images 
    Subramanian, Malliga; Kumar, M. Sandeep; Sathishkumar, V. E.; Prabhu, Jayagopal; Karthick, Alagar; Ganesh, S. Sankar; Meem, Mahseena Akter (Daffodil International University, 2022-04-15)
    Retinal abnormalities have emerged as a serious public health concern in recent years and can manifest gradually and without warning. These diseases can affect any part of the retina, causing vision impairment and indeed ...
  • Diallyl Disulfide 
    Mitra, Saikat; Das, Rajib; Emran, Talha Bin; Labib, Rafiuddin Khan; -E-Tabassum, Noor; Islam, Fahadul; Sharma, Rohit; Ahmad, Islamudin; Nainu, Firzan; Chidambaram, Kumarappan; Alhumaydhi, Fahad A.; Chandran, Deepak; Capasso, Raffaele; Wilairatana, Polrat (Daffodil International University, 2022-08-12)
    Cancer is a life-threatening disease caused by the uncontrolled division of cells, which culminates in a solid mass of cells known as a tumor or liquid cancer. It is the leading cause of mortality worldwide, and the number ...
  • Disease-Specific Recommendation for Rehabilitation 
    Hasana, Ikramul; Reza, Md. Selim; Haidera, Syed S.; Haque, M. Emdadul; Emran, Talha B. (Wolters Kluwer Health, Inc., 2023-01-18)
    Rehabilitation is defined by the WHO as ‘a set of interventions designed to optimize functioning and reduce disability in indivi- duals with health conditions in interaction with their environ- ment’[1,2] . The health ...
  • Dm-Health App: Diabetes Diagnosis Using Machine Learning with Smartphone 
    Hossain, Elias; Alshehri, Mohammed; Almakdi, Sultan; Halawani, Hanan; Rahman, Md. Mizanur; Rahman, Wahidur; Al Jannat, Sabila; Kaysar, Nadim; Mia, Shishir (Daffodil International University, 2022-01-06)
    Diabetes Mellitus is one of the most severe diseases, and many studies have been conducted to anticipate diabetes. This research aimed to develop an intelligent mobile application based on machine learning to determine the ...
  • Drosophila melanogaster as a Versatile Model for Studying Medically Important Insect Vector-Borne Parasites 
    Nainu, Firzan; Salim, Emil; Emran, Talha Bin; Sharma, Rohit (Daffodil International University, 2022-06-02)
    In the past decades, insect vector-borne parasitic diseases (VBDs), such as malaria, leishmaniasis, and lymphatic filariasis, have caused a devastating health problem, threatening for over 250 million lives worldwide (Wilson ...
  • A Drug Design Strategy Based on Molecular Docking and Molecular Dynamics Simulations Applied to Development of Inhibitor Against Triple-Negative Breast Cancer by Scutellarein Derivatives 
    Akash, Shopnil; Aovi, Farjana Islam; Azad, Md. A. K.; Kumer, Ajoy; Chakma, Unesco; Islam, Md. Rezaul; Mukerjee, Nobendu; Rahman, Md. Mominur; Bayıl, Imren; Rashid, Summya; Sharma, Rohit (PLOS, 2023-10-12)
    Triple-negative breast cancer (TNBC), accounting for 10–15% of all breast malignancies, is more prevalent in women under 40, particularly in those of African descent or carrying the BRCA1 mutation. TNBC is characterized ...
  • DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Visualization Utilizing Chest X-ray Images 
    Ahamed, Md. Khabir Uddin; Islam, Md Manowarul; Uddin, Md. Ashraf; Akhter, Arnisha; Acharjee, Uzzal Kumar; Paul, Bikash Kumar; Moni, Mohammad Ali (MDPI Publications, 2023-03-02)
    COVID-19 is a severe respiratory contagious disease that has now spread all over the world. COVID-19 has terribly impacted public health, daily lives and the global economy. Although some developed countries have advanced ...

Search DSpace


Browse

My Account