Subject:
All Disciplines Arts & Humanities Biology & Life Sciences Business & Economics Chemistry & Materials Science Computer Science & Mathematics Engineering Environmental & Earth Sciences Medicine & Pharmacology Physical Sciences Public Health & Healthcare Social Sciences
Sort:
Hottest Latest Alphabetical (A-Z) Alphabetical (Z-A)
Type:
All Topic Review Biography
Topic Review
3D Modeling of Epithelial Tumors
The current statistics on cancer show that 90% of all human cancers originate from epithelial cells. Breast and prostate cancer are examples of common tumors of epithelial origin that would benefit from improved drug treatment strategies. About 90% of preclinically approved drugs fail in clinical trials, partially due to the use of too simplified in vitro models and a lack of mimicking the tumor microenvironment in drug efficacy testing. This entry focuses on the epithelial cancers, followed by experimental models designed to recapitulate the epithelial tumor structure and microenvironment. A specific focus is to put on novel technologies for cell culture of spheroids, organoids, and 3D-printed tissue-like models, utilizing biomaterials of natural or synthetic origins, and how the models could be utilized for nanotechnology-based drug delivery in the future.
  • 598
  • 24 Jun 2021
Topic Review
AI in Thyroid Cancer Diagnosis
Artificial intelligence (AI) exceptional capabilities, including pattern recognition, predictive analytics, and decision-making skills, enable the development of systems that can analyze complex medical data at a scale and precision beyond human capacity. AI has significantly impacted thyroid cancer diagnosis, offering advanced tools and methodologies that promise to revolutionize patient outcomes.
  • 109
  • 01 Nov 2023
Topic Review
Anticancer Activities of Mushrooms
Approximately 270 species of mushrooms have been reported as potentially useful for human health. However, few mushrooms have been studied for bioactive compounds that can be helpful in treating various diseases. Like other natural regimens, the mushroom treatment appears safe, as could be expected from their long culinary and medicinal use.
  • 785
  • 29 Mar 2022
Topic Review
Application of Artificial Intelligence in Idiopathic Pulmonary Fibrosis
Machine Learning (ML) is an algorithm based on big data, which learns patterns from the previously observed data through classifying, predicting, and optimizing to accomplish specific tasks.  ML can have good performance and is a great potential tool, especially in the imaging diagnosis of interstitial lung disease.  Idiopathic pulmonary fibrosis (IPF) is a major problem in the treatment of respiratory diseases, due to the abnormal proliferation of fibroblasts, leading to lung tissue destruction. The diagnosis mainly depends on the early detection of imaging and early treatment, which can effectively prolong the life of patients. 
  • 405
  • 07 Mar 2023
Topic Review
Applications of Artificial Intelligence for Palliative Care
Artificial intelligence (AI) model development for synthetic data generation to improve Machine Learning (ML) methodologies is an integral part of research in Computer Science and is currently being transferred to related medical fields, such as Systems Medicine and Medical Informatics. Palliative care (PC) uses a team-oriented approach to improve the quality of life of patients and their families who are facing problems associated with a life-threatening illness.
  • 685
  • 22 Aug 2022
Topic Review
Apps in Anesthesia
Modern anesthesia continues to be impacted in new and unforeseen ways by digital technology. Combining portability and versatility, mobile applications or “apps” provide a multitude of ways to enhance anesthetic and peri-operative care.
  • 290
  • 30 Nov 2023
Topic Review
Artificial Intelligence and Machine Learning in Stroke Care
Stroke is an emergency for which delays in treatment can lead to significant loss of neurological function and be fatal. Technologies that increase the speed and accuracy of stroke diagnosis or assist in post-stroke rehabilitation can improve patient outcomes. No resource exists that comprehensively assesses artificial intelligence/machine learning (AI/ML)-enabled technologies indicated for the management of ischemic and hemorrhagic stroke.
  • 318
  • 16 Jun 2023
Topic Review
Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care
Primary care stands as a cornerstone in healthcare, serving as the first point of contact and managing the most significant number of patients in the United States and worldwide. AI can mimic human reasoning and behavior and handle the increasing volume of medical data within healthcare systems. Machine learning (ML) is the most common AI technique used.
  • 57
  • 27 Mar 2024
Topic Review
Automated Dose Dispensed Medicine in Home Care
Automated dose dispensing (ADD) systems are today used around the world but little is known about how patients react to  receiving the daily doses of medicine from a machine rather than from a human. This entry reveals a general satisfaction towards ADD robots as an intervention.
  • 428
  • 06 Dec 2021
Topic Review
Avoid Medication Errors, Reporting Systems
Creating an effective multiple-phase reporting method to lower medication errors can act to identify the baseline rates of prescription errors. Hence, this can enable a recognition of the major types of medication errors and thereby assist in risk-reduction through the application of various preventive measures. A successful strategy to prevent and detect drug-related problems may involve three stages: pre-intervention phase, intervention phase, and post-intervention phase. 
  • 668
  • 05 Nov 2021
  • Page
  • of
  • 6
Featured Entry Collections
>>

Featured Books

>>
Encyclopedia of Social Sciences
Encyclopedia of COVID-19
Encyclopedia of Fungi
Encyclopedia of Digital Society, Industry 5.0 and Smart City
Feedback