scholarly journals Tuberculosis innovations mean little if they cannot save lives

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Madhukar Pai ◽  
Jennifer Furin

The past decade has seen the emergence of new diagnostics and drugs for tuberculosis, a disease that kills over 1.8 million people each year. However, these new tools are yet to reach scale, and access remains a major challenge for patients in low and middle income countries. Urgent action is needed if we are committed to ending the TB epidemic. This means raising the level of ambition, embracing innovation, increasing financial investments, addressing implementation gaps, and ensuring that new technologies reach those who need them to survive. Otherwise, the promise of innovative technologies will never be realized.

Obesities ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 26-28
Author(s):  
Bruno Guigas

Obesity prevalence has increased continuously over the past 50 years, a dramatic worldwide expansion not only limited to industrialized countries but also observed in a large number of low- and middle-income countries experiencing rapid rural–urban transition [...]


2018 ◽  
Vol 13 (4) ◽  
pp. 187-188 ◽  
Author(s):  
Bethany Hipple Walters ◽  
Ionela Petrea ◽  
Harry Lando

While the global smoking rate has dropped in the past 30 years (from 41.2% of men in 1980 to 31.1% in 2012 and from 10.6% of women in 1980 to 6.2% in 2012), the number of tobacco smokers has increased due to population growth (Ng et al., 2014). This tobacco use and second-hand smoke exposure continue to harm people worldwide. Those harmed are often vulnerable: children, those living in low- and middle-income countries (LMICs), those with existing diseases, etc. As noted by the World Health Organization (WHO), nearly 80% of those who smoke live in a LMIC (World Health Organization, 2017). Furthermore, it is often those who are more socio-economically disadvantaged or less educated in LMICs that are exposed to second-hand smoke at home and work (Nazar, Lee, Arora, & Millett, 2015).


2020 ◽  
Vol 5 ◽  
pp. 142
Author(s):  
Minh Ngoc Dinh ◽  
Joseph Nygate ◽  
Van Hoang Minh Tu ◽  
C. Louise Thwaites ◽  

We report the outputs of a satellite event in Ho Chi Minh City, Vietnam, organized as part of the “2nd Global Grand Challenges of Engineering Summit”. The event considered challenges and potential solutions for improving low- and middle-income country (LMIC) healthcare systems, with particular reference to critical care.  Participants from key regional and local stakeholders in healthcare and engineering discussed how new advances in technology, especially in the field of Artificial Intelligence, could be of potential benefit. This article summarizes the perspectives and conclusions of a group of key stakeholders from LMICs across South and South East Asia.


2013 ◽  
Vol 39 (2-3) ◽  
pp. 308-331 ◽  
Author(s):  
Matthew Allen

It has been estimated that the use of tobacco kills nearly 6 million people each year, with most deaths occurring in low- and middle-income countries. This disparity is expected to increase over the next few decades. On the basis of current trends, tobacco use will kill more than 8 million people worldwide per annum by 2030, with eighty percent of those premature deaths occurring in low- and middle-income countries. The significant burden of morbidity and mortality associated with tobacco use is well documented and proven and will not be repeated here.The evidence base for addressing the tobacco epidemic domestically, regionally, and globally has developed in a systematic fashion over the past five decades. Effective measures for tobacco control are now well known and have been canvassed widely in the published literature.


Author(s):  
Aizhamal Tabyshova ◽  
John R. Hurst ◽  
Joan B. Soriano ◽  
William Checkley ◽  
Erick Wan-Chun Huang ◽  
...  

2020 ◽  
Vol 5 (3) ◽  
pp. 255-262 ◽  
Author(s):  
Oluwatoyin I. Ameh ◽  
Udeme E. Ekrikpo ◽  
Andre-Pascal Kengne

2019 ◽  
Vol 5 (suppl) ◽  
pp. 25-25 ◽  
Author(s):  
Luis Eduardo Pino ◽  
Eduardo Large ◽  
Jorge Mejía ◽  
Ivan Camilo Triana

25 Background: Cancer healthcare systems are an example of inequity and waste in low and middle income countries. Access to high quality cancer pathways focused in early diagnosis, molecular biology, proper staging and evidence based treatments are scarce and the patient`s care experience is dramatic and difficult in a majority of cases. There are no integrative healthcare models based on new technologies that improve outcomes and make more comfortable and expeditious all the patient and physician´s journey in cancer. Methods: Our team developed and trained a talkbot called MAIA (Medical Artificial Intelligence Assistant) using an algorithmic translation of medical language focused in the state or art for non small cell lung cancer. Our clinical team developed decision trees in diagnosis, staging, medical and surgical treatment and molecular biology that were incorporated in a virtual platform and then integrated onto a narrow artificial intelligence bot brain using neural networks with the proposal of generate clinical support to the physician and create a standard text using the verbal information captured in the oncological consultation and integrated images (reports) through a image edition software and then create a unique medical record without using computers by the physician. MAIA also can create medical treatment choices in first line of treatment and create alerts and alarms through an own app (MAIA Hip). Results: Our proof of concept was released in video at this link https://drive.google.com/file/d/12YtiOkhfEmIsL2bFp9T3QyfHHWxBvvKU/view?ts=5ceec096 Due to our decision trees size we can´t upload them, but are available for presentation. Conclusions: A talkbot trained as a narrow artificial intelligence interface for an integrative cancer healthcare platform (HIP) is possible through the clinical and engineer integration of languages using a neural network method and other software tools. MAIA is for now a patient and physician experience improvement, but the real impact will be in the data standarization and acquisition for advanced analytics. The final scope of MAIA HIP will be a blockchain for cancer in low and middle income countries.


2020 ◽  
Vol 5 ◽  
pp. 142
Author(s):  
Minh Ngoc Dinh ◽  
Joseph Nygate ◽  
Van Hoang Minh Tu ◽  
C. Louise Thwaites ◽  

We report the outputs of a satellite event in Ho Chi Minh City, Vietnam, organized as part of the “2nd Global Grand Challenges of Engineering Summit”. The event considered challenges and potential solutions for improving low- and middle-income country (LMIC) healthcare systems, with particular reference to critical care.  Participants from key regional and local stakeholders in healthcare and engineering discussed how new advances in technology, especially in the field of Artificial Intelligence, could be of potential benefit. This article summarizes the perspectives and conclusions of a group of key stakeholders from LMICs across South and South East Asia.


Author(s):  
Markus Röver ◽  
Anugrah Shaw ◽  
Christian J. Kuster

AbstractAn international web meeting on the topic of operator safety for pesticide operators was held on 20–21 September 2021. The meeting provided an opportunity for experts from regulatory agencies, pesticide industry, the Food and Agriculture Organization (FAO), and other organizations to discuss operator safety in low- and middle-income countries (LMIC). The meeting focused on risk assessment and risk mitigation, the first steps to address operator safety. The key message at the meeting was the need for an operator exposure model that includes common hand-held scenarios used in LMIC and consistent personal protective equipment communication. The experts supported a transparent collaborative process that will enable us to build on the past efforts.


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