scholarly journals Carbon Dots for Cancer Nanomedicine: A Bright Future

2021 ◽  
Author(s):  
Samer Bayda ◽  
Emanuele Amadio ◽  
Simone Cailotto ◽  
Yahima Frión-Herrera ◽  
Alvise Perosa ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
Carbon Dots ◽  
Causes Of Death ◽  
Cancer Therapies ◽  
Therapeutic Approaches ◽  
Bright Future ◽  
Cancer Nanomedicine ◽  
The World

Cancer remains one of the main causes of death in the world. Early diagnosis and effective cancer therapies are required to treat this pathology. Traditional therapeutic approaches are limited by...

The application of artificial intelligence and radiomics in lung cancer

2020 ◽  
Vol 3 (3) ◽  
pp. 214-227
Author(s):  
Yaojie Zhou ◽  
Xiuyuan Xu ◽  
Lujia Song ◽  
Chengdi Wang ◽  
Jixiang Guo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Lung Cancer ◽  
Early Diagnosis ◽  
Medical Management ◽  
Causes Of Death ◽  
Current Application ◽  
The World ◽  
Great Progress ◽  
Made In

Abstract Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images. With the integration of AI and radiomics, great progress has been made in the early diagnosis, specific characterization, and prognosis of lung cancer, which has aroused attention all over the world. In this study, we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.

Trends in Nanomedicines for Cancer Treatment

2020 ◽  
Vol 26 (29) ◽  
pp. 3579-3600
Author(s):  
Tatielle do Nascimento ◽  
Adriane R. Todeschini ◽  
Ralph Santos-Oliveira ◽  
Mariana S. de Souza de Bustamante Monteiro ◽  
Vilênia T. de Souza ◽  
...  
Keyword(s):  
Gene Therapy ◽  
Photodynamic Therapy ◽  
Clinical Study ◽  
Cancer Treatment ◽  
Causes Of Death ◽  
Magnetic Hyperthermia ◽  
Research Field ◽  
Cancer Therapies ◽  
The World ◽  
Pharmaceutical Nanotechnology

Background: Cancer is characterized by abnormal cell growth and considered one of the leading causes of death around the world. Pharmaceutical Nanotechnology has been extensively studied for the optimization of cancer treatment. Objective: Comprehend the panorama of Pharmaceutical Nanotechnology in cancer treatment, through a survey about nanomedicines applied in clinical studies, approved for use and patented. Methods: Acknowledged products under clinical study and nanomedicines commercialized found in scientific articles through research on the following databases: Pubmed, Science Direct, Scielo and Lilacs. Derwent tool was used for patent research. Results: Nanomedicines based on nanoparticles, polymer micelles, liposomes, dendrimers and nanoemulsions were studied, along with cancer therapies such as Photodynamic Therapy, Infrared Phototherapy Hyperthermia, Magnetic Hyperthermia, Radiotherapy, Gene Therapy and Nanoimmunotherapy. Great advancement has been observed over nanotechnology applied to cancer treatment, mainly for nanoparticles and liposomes. Conclusion: The combination of drugs in nanosystems helps to increase efficacy and decrease toxicity. Based on the results encountered, nanoparticles and liposomes were the most commonly used nanocarriers for drug encapsulation. In addition, although few nanomedicines are commercially available, this specific research field is continuously growing.

scholarly journals Recommendations for the early diagnosis of COPD: the AIMAR view

2015 ◽  
Vol 10 ◽  
Author(s):  
Bartolome R. Celli
Keyword(s):  
United States ◽  
Chronic Obstructive Pulmonary Disease ◽  
Health Care ◽  
Early Diagnosis ◽  
Causes Of Death ◽  
The United States ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Appropriate Treatment ◽  
The World

Chronic obstructive pulmonary disease (COPD) has the dubious distinction of being one of the few major causes of death that continues to rise in the United States and the world. In that sense, its prevention, early diagno- sis when clinically present, and finally its appropriate treatment should constitute a priority item in today’s health care agenda. [...]

scholarly journals Oncolytic animal viruses and their applications in anti-cancer therapies

2017 ◽  
Vol 73 (1) ◽  
pp. 4-9
Author(s):  
Marcin Chodkowski ◽  
Joanna Cymerys ◽  
Anna Słońska ◽  
Marcin W. Bańbura
Keyword(s):  
Tumor Cells ◽  
Conventional Treatment ◽  
Causes Of Death ◽  
High Specificity ◽  
Oncolytic Viruses ◽  
Alternative Methods ◽  
Cancer Therapies ◽  
Anti Cancer ◽  
The World ◽  
Cancerous Cells

Cancer is one of the most frequent causes of death in Poland and in the world. The low efficacy of conventional treatment, as well as the high toxicity of the usual therapies, have stimulated the search for alternative methods. One of them is the deployment of oncolytic viruses. Oncolytic viruses have a natural ability to lyse tumor cells or can obtain this ability through certain modifications. The aim of virotherapy is to discover a virus that will lyse only tumor cells, and will not be dangerous to healthy cells, and moreover will not cause an undesirable response from the host’s immune system. Animal viruses with oncolytic abilities are very promising, because they are not pathogenic for humans and often show a high specificity for human cancerous cells.

scholarly journals THE POSSIBILITY OF USING GLIAL FIBRILLARY ACIDIC PROTEIN AS A BIOMARKER IN THE ACUTE PERIOD OF STROKE

2019 ◽  
pp. 4-15
Author(s):  
M. P. Topuzova ◽  
T. M. Alekseeva ◽  
E. B. Panina ◽  
T. V. Vavilova ◽  
O. A. Portik ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
Glial Fibrillary Acidic Protein ◽  
Disease Control ◽  
Brain Tissue ◽  
High Mortality ◽  
Acidic Protein ◽  
Review Of The Literature ◽  
Therapeutic Approaches ◽  
Acute Period ◽  
The World

High mortality and disability resulting from a stroke throughout the world is the cause of fi nding new opportunities to improve early diagnosis and optimize therapeutic approaches. The article presents a review of the literature devoted to the study of glial fi brillary acidic protein (GFAP) as a biomarker in the acute period of stroke, which showed that its use is possible not only to diff erentiate the ischemic and hemorrhagic process, but also to determine the degree of destruction of brain tissue, as in the fi rst hours of a stroke, and in the dynamics. In addition, the GFAP analysis can be useful for monitoring the course of the disease, control the eff ectiveness of therapy, as well as to predict outcomes.

scholarly journals Mortality beyond emergency threshold in a silent crisis– results from a population-based mortality survey in Ouaka prefecture, Central African Republic, 2020

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Eve Robinson ◽  
Lawrence Lee ◽  
Leslie F. Roberts ◽  
Aurelie Poelhekke ◽  
Xavier Charles ◽  
...  
Keyword(s):  
Central African Republic ◽  
Causes Of Death ◽  
Maternal Mortality Ratio ◽  
Mortality Rates ◽  
Population Based ◽  
Access To Healthcare ◽  
Mortality Data ◽  
Humanitarian Emergency ◽  
The World ◽  
Mortality Survey

Abstract Background The Central African Republic (CAR) suffers a protracted conflict and has the second lowest human development index in the world. Available mortality estimates vary and differ in methodology. We undertook a retrospective mortality study in the Ouaka prefecture to obtain reliable mortality data. Methods We conducted a population-based two-stage cluster survey from 9 March to 9 April, 2020 in Ouaka prefecture. We aimed to include 64 clusters of 12 households for a required sample size of 3636 persons. We assigned clusters to communes proportional to population size and then used systematic random sampling to identify cluster starting points from a dataset of buildings in each commune. In addition to the mortality survey questions, we included an open question on challenges faced by the household. Results We completed 50 clusters with 591 participating households including 4000 household members on the interview day. The median household size was 7 (interquartile range (IQR): 4—9). The median age was 12 (IQR: 5—27). The birth rate was 59.0/1000 population (95% confidence interval (95%-CI): 51.7—67.4). The crude and under-five mortality rates (CMR & U5MR) were 1.33 (95%-CI: 1.09—1.61) and 1.87 (95%-CI: 1.37–2.54) deaths/10,000 persons/day, respectively. The most common specified causes of death were malaria/fever (16.0%; 95%-CI: 11.0–22.7), violence (13.2%; 95%-CI: 6.3–25.5), diarrhoea/vomiting (10.6%; 95%-CI: 6.2–17.5), and respiratory infections (8.4%; 95%-CI: 4.6–14.8). The maternal mortality ratio (MMR) was 2525/100,000 live births (95%-CI: 825—5794). Challenges reported by households included health problems and access to healthcare, high number of deaths, lack of potable water, insufficient means of subsistence, food insecurity and violence. Conclusions The CMR, U5MR and MMR exceed previous estimates, and the CMR exceeds the humanitarian emergency threshold. Violence is a major threat to life, and to physical and mental wellbeing. Other causes of death speak to poor living conditions and poor access to healthcare and preventive measures, corroborated by the challenges reported by households. Many areas of CAR face similar challenges to Ouaka. If these results were generalisable across CAR, the country would suffer one of the highest mortality rates in the world, a reminder that the longstanding “silent crisis” continues.

scholarly journals Endothelial activation and dysfunction in COVID-19: from basic mechanisms to potential therapeutic approaches

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Yuefei Jin ◽  
Wangquan Ji ◽  
Haiyan Yang ◽  
Shuaiyin Chen ◽  
Weiguo Zhang ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Endothelial Activation ◽  
World Health ◽  
Therapeutic Approaches ◽  
Inflammatory Reactions ◽  
Angiotensin Converting Enzyme 2 ◽  
Therapeutic Implications ◽  
Endothelial Inflammation ◽  
The World ◽  
Health Organization

AbstractOn 12 March 2020, the outbreak of coronavirus disease 2019 (COVID-19) was declared a pandemic by the World Health Organization. As of 4 August 2020, more than 18 million confirmed infections had been reported globally. Most patients have mild symptoms, but some patients develop respiratory failure which is the leading cause of death among COVID-19 patients. Endothelial cells with high levels of angiotensin-converting enzyme 2 expression are major participants and regulators of inflammatory reactions and coagulation. Accumulating evidence suggests that endothelial activation and dysfunction participate in COVID-19 pathogenesis by altering the integrity of vessel barrier, promoting pro-coagulative state, inducing endothelial inflammation, and even mediating leukocyte infiltration. This review describes the proposed cellular and molecular mechanisms of endothelial activation and dysfunction during COVID-19 emphasizing the principal mediators and therapeutic implications.

scholarly journals TREASURE: Text Mining Algorithm Based On Affinity Analysis and Set Intersection to Find the Action of Tuberculosis Drugs against Other Pathogens

2021 ◽  
Vol 11 (15) ◽  
pp. 6834
Author(s):  
Pradeepa Sampath ◽  
Nithya Shree Sridhar ◽  
Vimal Shanmuganathan ◽  
Yangsun Lee
Keyword(s):  
Text Mining ◽  
Causes Of Death ◽  
Intersection Property ◽  
Research Papers ◽  
Bacterial Diseases ◽  
Mining Algorithm ◽  
Set Intersection ◽  
The World ◽  
Medical Researchers

Tuberculosis (TB) is one of the top causes of death in the world. Though TB is known as the world’s most infectious killer, it can be treated with a combination of TB drugs. Some of these drugs can be active against other infective agents, in addition to TB. We propose a framework called TREASURE (Text mining algoRithm basEd on Affinity analysis and Set intersection to find the action of tUberculosis dRugs against other pathogEns), which particularly focuses on the extraction of various drug–pathogen relationships in eight different TB drugs, namely pyrazinamide, moxifloxacin, ethambutol, isoniazid, rifampicin, linezolid, streptomycin and amikacin. More than 1500 research papers from PubMed are collected for each drug. The data collected for this purpose are first preprocessed, and various relation records are generated for each drug using affinity analysis. These records are then filtered based on the maximum co-occurrence value and set intersection property to obtain the required inferences. The inferences produced by this framework can help the medical researchers in finding cures for other bacterial diseases. Additionally, the analysis presented in this model can be utilized by the medical experts in their disease and drug experiments.

scholarly journals Preventing corneal blindness caused by keratitis using artificial intelligence

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhongwen Li ◽  
Jiewei Jiang ◽  
Kuan Chen ◽  
Qianqian Chen ◽  
Qinxiang Zheng ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
Vision Loss ◽  
Learning System ◽  
Automated Classification ◽  
Slit Lamp ◽  
Resource Limited ◽  
The World ◽  
Different Types ◽  
Corneal Blindness

AbstractKeratitis is the main cause of corneal blindness worldwide. Most vision loss caused by keratitis can be avoidable via early detection and treatment. The diagnosis of keratitis often requires skilled ophthalmologists. However, the world is short of ophthalmologists, especially in resource-limited settings, making the early diagnosis of keratitis challenging. Here, we develop a deep learning system for the automated classification of keratitis, other cornea abnormalities, and normal cornea based on 6,567 slit-lamp images. Our system exhibits remarkable performance in cornea images captured by the different types of digital slit lamp cameras and a smartphone with the super macro mode (all AUCs>0.96). The comparable sensitivity and specificity in keratitis detection are observed between the system and experienced cornea specialists. Our system has the potential to be applied to both digital slit lamp cameras and smartphones to promote the early diagnosis and treatment of keratitis, preventing the corneal blindness caused by keratitis.

scholarly journals Histamine Intolerance—The More We Know the Less We Know. A Review

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2228
Author(s):  
Martin Hrubisko ◽  
Radoslav Danis ◽  
Martin Huorka ◽  
Martin Wawruch
Keyword(s):  
Gold Standard ◽  
Multidisciplinary Approach ◽  
Adverse Reactions ◽  
Immunological Response ◽  
Food Intolerance ◽  
Therapeutic Approaches ◽  
Complex Time ◽  
Histamine Intolerance ◽  
The World ◽  
H1 Antihistamines

The intake of food may be an initiator of adverse reactions. Food intolerance is an abnormal non-immunological response of the organism to the ingestion of food or its components in a dosage normally tolerated. Despite the fact that food intolerance is spread throughout the world, its diagnosing is still difficult. Histamine intolerance (HIT) is the term for that type of food intolerance which includes a set of undesirable reactions as a result of accumulated or ingested histamine. Manifestations may be caused by various pathophysiological mechanisms or a combination of them. The problem with a “diagnosis” of HIT is precisely the inconstancy and variety of the manifestations in the same individual following similar stimuli. The diagnosing of HIT therefore requires a complex time-demanding multidisciplinary approach, including the systematic elimination of disorders with a similar manifestation of symptoms. Among therapeutic approaches, the gold standard is a low-histamine diet. A good response to such a diet is considered to be confirmation of HIT. Alongside the dietary measures, DAO supplementation supporting the degradation of ingested histamine may be considered as subsidiary treatment for individuals with intestinal DAO deficiency. If antihistamines are indicated, the treatment should be conscious and time-limited, while 2nd or 3rd generation of H1 antihistamines should take precedence.

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