A5023124457- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Machine Learning in Bioinformatics
- COVID-19 diagnosis using AI
- Genomics and Rare Diseases
- Genetics, Bioinformatics, and Biomedical Research
- Phytochemicals and Antioxidant Activities
- Artificial Intelligence in Healthcare
- Brain Tumor Detection and Classification
- Islamic Finance and Banking Studies
- Neonatal and fetal brain pathology
- Internet Traffic Analysis and Secure E-voting
- Network Security and Intrusion Detection
- Advanced Technologies in Various Fields
- Sentiment Analysis and Opinion Mining
- IoT-based Control Systems
- Digital Imaging for Blood Diseases
- Date Palm Research Studies
- Renal cell carcinoma treatment
- Advanced Authentication Protocols Security
- Halal products and consumer behavior
- Computer Science and Engineering
- Opportunistic and Delay-Tolerant Networks
- Postharvest Quality and Shelf Life Management
- Organizational and Employee Performance
Bahria University
2023-2024
Muhammadiyah University of Makassar
2024
King Edward Medical University
2022-2023
Riphah International University
2022
Jakarta State Polytechnic
2019
University of Sargodha
2014-2016
Oral cancer is a dangerous and extensive with high death ratio. the most usual in world, more than 300,335 deaths every year. The cancerous tumor appears neck, oral glands, face, mouth. To overcome this cancer, there are many ways to detect like biopsy, which small chunks of tissues taken from mouth tested under secure hygienic microscope. However, microscope results not up mark, cannot easily identify cells normal cells. Detection using microscopic biopsy images helps allaying predicting...
Fatal diseases like cancer, dementia, and diabetes are very dangerous. This leads to fear of death if these not diagnosed at early stages. Computer science uses biomedical studies diagnose diabetes. With the advancement machine learning, there various techniques which accessible predict prognosis based on different datasets. These datasets varied (image CSV datasets) around world. So, is a need for some learning classifiers in human. In this paper, we used multifactorial genetic inheritance...
In the world, in past recent five years, breast cancer is diagnosed about 7.8 million women's and making it most widespread cancer, second major reason for death. So, early prevention diagnosis systems of could be more helpful significant. Neural networks can extract multiple features automatically perform predictions on cancer. There a need several labeled images to train neural which nonconventional method some types data such as magnetic resonance imaging (MRI) images. there only one...
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they usually extremities of long bones near metaphyseal growth plates. Osteosarcoma is a malignant lesion caused by osteoid growing from primitive mesenchymal cells. In most cases, osteosarcoma develops solitary within rapidly areas children. The distal femur, proximal tibia, and humerus are frequently affected but virtually any bone be affected. Early detection reduce mortality rates. Osteosarcoma’s manual requires...
A major and essential issue in biomedical research is to predict genome disorder. Genome disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh syndrome, etc. which are causes of high mortality rates around the world. In past, theoretical explanatory-based approaches were introduced With development technology, genetic data improved cover almost protein then machine deep learning-based Parallel learning introduced. many types conducted on disorder...
Kidney cancer is a very dangerous and lethal cancerous disease caused by kidney tumors or genetic renal disease, few patients survive because there no method for early prediction of cancer. Early helps doctors start proper therapy treatment the patients, preventing transplantation. With adaptation artificial intelligence, automated tools empowered with different deep learning machine algorithms can predict cancers. In this study, proposed model used Internet Medical Things (IoMT)-based...
A high mortality rate is associated with ovarian cancer, one of the most common types cancers in women. Ovarian cancer refers to a group disorders that develop ovaries and spread fallopian tubes peritoneum. Treatment effective when discovered its early stages. Machine learning has recently demonstrated it capable better identifying Most modern research studies on use single classification model, leading poor performance diagnosis. For detection highly sophisticated efficient machine...
A genetic disorder is a serious disease that affects large number of individuals around the world. There are various types illnesses, however, we focus on mitochondrial and multifactorial disorders for prediction. Genetic illness caused by factors, including defective maternal or paternal gene, excessive abortions, lack blood cells, low white cell count. For premature teenage life development, early detection diseases crucial. Although it difficult to forecast ahead time, this prediction...
One of the most difficult jobs in post-genomic age is identifying a genetic disease from massive amount data. Furthermore, complicated has very diverse genotype, making it challenging to find markers. This process since must be completed effectively and efficiently. research article focuses largely on which patients are more likely have disorder based numerous medical parameters. Using patient’s history, we used prediction algorithm that predicts if patient diagnosed with disorder. To...
The arabinoxylan from Ispaghula (Plantago ovata) husk has been proven scientifically as potential excipient. However, toxicity study of the is still lacking. present was done to investigate acute in two animal species.The mice were exposed (1 g/kg, 5 10 g/kg) and rabbits (2.5 orally observed for a period 14 days. On day 15 hematology, serum biochemistry necropsy performed relative organ weight calculated histological examination carried out. Primary dermal eye irritation tests Cardiac...
The study presents a framework to analyze and detect meddling in real-time network data identify numerous patterns that may be harmful various communication means, academic institutes, other industries. major challenge was develop non-faulty (to overcome the traditional ways). With development of machine learning technology, detecting stopping process early stages is much easier. In this study, proposed uses collection processing techniques train anomalies. support vector (SVM) K-nearest...
Dandang Gendis (Clinachantus nutans L.) is a plant commonly used in traditional medicine. Based on the empirical experience of people, dandang gendis leaves are believed to possess antidiabetic and antibacterial properties. This study aimed determine LD50 value assess toxicity level extract resulting toxic effects leaves. The Thompson-Weil calculation method was employed this study, utilising 25 mice divided into 5 groups each. Group one served as control (Na-CMC 1%), while other four were...
Cardiotocography measures the fetal heart rate in fetus during pregnancy to ensure physical health because cardiotocography gives data about and uterine shrinkages which is very beneficial detect whether normal or suspect pathologic.Various infer wrongly give wrong predictions of human error.The traditional way reading time taken belongs numerous errors as well.Fetal condition important measure at stages proper medications for its well-being.In current period Machine learning (ML) a...
Lymphoma and leukemia are fatal syndromes of cancer that cause other diseases affect all types age groups including male female, disastrous blood causes an increased savvier death ratio. Both lymphoma associated with the damage rise immature lymphocytes, monocytes, neutrophils, eosinophil cells. So, in health sector, early prediction treatment is a major issue for survival rates. Nowadays, there various manual techniques to analyze predict using microscopic medical reports white cell images,...
Abstract Security and privacy are greatly enhanced by intrusion detection systems. Now, Machine Learning (ML) Deep (DL) with Intrusion Detection Systems (IDS) have seen great success due to their high levels of classification accuracy. Nevertheless, because data must be stored communicated a centralized server in these methods, the confidentiality features system may threatened. This article proposes blockchain-based Federated (FL) approach that maintains training inferring models locally....
Lipomas of the gastrointestinal tract are a rare entity compared to more common tumors gut, such as adenomatous polyps and carcinomas. They were first described by Bauer in 1757. Gastrointestinal lipomas can grow all segments with highest frequency colon. In this case report, we present lipoma mimicking colonic malignancy causing intussusception, necessitating emergent surgery. This paper highlights potential diagnostic challenges therapeutic interventions associated GI lipomas. A...
Abstract In current century, big number of people adopting social media very fastly because is reliable, fast and easy to use. So, many industries also, like Facebook analyze their customers’ reviews, emotions understand behavior, which helpful in providing facilities customers. Nowadays bulk data available on media. To increase competitive benefits assess environment industries, companies need as well customer generated data. guide large understanding how they may use emotion marketing...
Breast cancer is the most common type of worldwide in last five years. second cause death women, after skin cancer. detection at an early stage has potential to reduce morbidity and mortality. There are many technologies diagnostic tests available diagnose breast Artificial neural networks can automatically extract multiple features make prediction about Multiple labeled images required train that unconventional method for some types data images, such as magnetic resonance imaging (MRI). The...
Cervical cancer is an intrusive that imitates various women around the world.Cervical ranks in fourth position because of leading death cause its premature stages.The cervix which lower end vagina connects uterus and forms a cancerous tumor very slowly.This pre-mature deadly if it cannot be detected early stages.So, this delineated study, proposed approach uses federated machine learning with numerous solvers for prediction cervical to train weights varying neurons empowered fuzzed...