Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
Lancet HIV ; 8(1): e51-e58, 2021 01.
Article in English | MEDLINE | ID: mdl-33271124

ABSTRACT

In light of the increasing global burden of new HIV infections, growing financial requirements, and shifting funding landscape, the global health community must accelerate the development and delivery of an HIV cure to complement existing prevention modalities. An effective curative intervention could prevent new infections, overcome the limitations of antiretroviral treatment, combat stigma and discrimination, and provide a sustainable financial solution for pandemic control. We propose steps to plan for an HIV cure now, including defining a target product profile and establishing the HIV Cure Africa Acceleration Partnership (HCAAP), a multidisciplinary public-private partnership that will catalyse and promote HIV cure research through diverse stakeholder engagement. HCAAP will convene stakeholders, including people living with HIV, at an early stage to accelerate the design, social acceptability, and rapid adoption of HIV-cure products.


Subject(s)
HIV Infections/epidemiology , HIV , Disease Management , Drug Development , HIV Infections/drug therapy , HIV Infections/prevention & control , HIV Infections/virology , Health Care Surveys , Health Resources , Humans , Public-Private Sector Partnerships , Quality of Life , Social Stigma , Socioeconomic Factors
2.
Lancet HIV ; 8(1): e42-e50, 2021 01.
Article in English | MEDLINE | ID: mdl-33271125

ABSTRACT

Developing a cure for HIV is a global priority. Target product profiles are a tool commonly used throughout the drug development process to align interested parties around a clear set of goals or requirements for a potential product. Three distinct therapeutic modalities (combination therapies, ex-vivo gene therapy, and in-vivo gene therapy) for a target product profile for an HIV cure were identified. Using a process of expert face-to-face consultation and an online Delphi consultation, we found a high degree of agreement regarding the criteria for the optimum target product profile. Although the minimum attributes for a cure were debated, the broad consensus was that an acceptable cure need not be as safe and effective as optimally delivered antiretroviral therapy. An intervention that successfully cured a reasonable fraction of adults would be sufficient to advance to the clinic. These target product profiles will require further discussion and ongoing revisions as the field matures.


Subject(s)
HIV Infections/epidemiology , Antiretroviral Therapy, Highly Active , Combined Modality Therapy , Consensus , Disease Management , Expert Testimony , HIV , HIV Infections/drug therapy , HIV Infections/virology , Humans , Public Health Surveillance
4.
J Am Coll Radiol ; 17(1 Pt B): 165-170, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31918875

ABSTRACT

Radiologists today are under increasing work pressure. We surveyed radiologists in the United States across practice settings, and the overwhelming majority reported an increased workload. Artificial intelligence (AI), which includes machine learning, can help address these issues. It also has the potential to improve clinical outcomes and raise further the value of medical imaging in ways yet to be defined. In this article, we report on recent McKinsey & Company work to understand the growth of AI in medical imaging. We highlight progress in its clinical application, the investments that are backing it, and the barriers to broader adoption. We also offer a view on how the market will develop. AI is set to have a big impact on the medical imaging market and hence on how radiologists work, helping them to speed up scan time, make more accurate diagnoses, and ease their workload. As AI in medical imaging increasingly proves its worth, it is hard to imagine that AI will not ultimately transform radiology.


Subject(s)
Artificial Intelligence , Diagnostic Imaging , Attitude to Computers , Cloud Computing , Forecasting , Humans , Image Interpretation, Computer-Assisted , Image Processing, Computer-Assisted , Investments
SELECTION OF CITATIONS
SEARCH DETAIL
...