Collection publishing: December Collection publishing: November Collection publishing: January In many parts of the world maternal and child health outcomes are increasingly impacted by indirect causes, many of which are related to nutrition.
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Women with diabetes, anemia or who are overweight are at a higher risk of childbirth-related complications. Their newborns, in turn, are also at a higher risk of experiencing adverse health outcomes later in life.
As the leading infectious cause of death worldwide, TB demands an urgent response that will realistically enable its elimination. This PLOS Medicine special issue focuses on new approaches to fighting and ending TB, including discovery and validation of novel biomarkers and diagnostic technologies, development of new treatments, testing of vaccines, and implementation studies of new strategies for diagnosis and treatment of TB.
Modern statistical modeling techniques—often called machine learning—are posited as a transformative force for human health. These articles will be accompanied by expert commentary on the application, impact, and ethics of these approaches.
From drug delivery to artificial organs, the design, development, and characterization of biomaterials opens countless avenues for improved medical therapeutics and diagnostics. As the importance of biomaterials research for healthcare grows, so does the need for the corresponding results to be open, well-reported and reproducible. In this PLOS ONE collection, we bring together the biomedical and materials science research communities, to foster interdisciplinary exchange on a wide range of topics and on questions of reporting standards and openness in the field of biomaterials.
Quantum computation and simulation have seen enormous progress in the past few years. Leaps in number and quality of experimentally available qubits, innovations in quantum software and an increasing versatility in simulating quantum matter and quantum systems, nourish the expectation that soon quantum computers and simulators will be able to solve practically relevant problems.
In this collection PLOS ONE hopes to encourage greater transparency and reproducibility in research through open availability of source code.
Spotlight Neuroscience of Reward and Decision Making An interdisciplinary approach to research into the neural underpinnings of both reward and decision making has begun to advance our understanding of these complex processes. Closed Calls The deadlines for these Calls for Papers have now passed, but we always welcome your research in any of these areas.
New Tools and Strategies for Tuberculosis Diagnosis, Care, and Elimination As the leading infectious cause of death worldwide, TB demands an urgent response that will realistically enable its elimination. Using digital tools, researchers have begun to use experimental and clinical data to build models that can unravel complex medical mysteries.
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These are some of the conclusions of a new review of the field published in the Oct. The institute was launched in as collaboration between the university's Whiting School of Engineering and its School of Medicine. The goal was to use powerful computers to analyze and mathematically model disease mechanisms. The results were to be used to help predict who is at risk of developing a disease and to determine how to treat it more effectively. In recent years, "the field has exploded," institute director Raimond Winslow said.
- Amos: A Handbook on the Hebrew Text (Baylor Handbook on the Hebrew Bible).
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This allows them to bring a whole new perspective to medical diagnosis and treatment. Engineers traditionally construct models of the systems they are designing. In our case, we're building computational models of what we are trying to study, which is disease. Looking at disease through the lens of traditional biology is like trying to assemble a very complex jigsaw puzzle with a huge number of pieces, he said.
Mathematical Modeling and Simulation in Enteric Neurobiology
The result can be a very incomplete picture. Biology in both health and disease is very complex, Winslow added. It involves the feed-forward flow of information from the level of the gene to protein, networks, cells, organs and organ systems.
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This is already complex, he said, and to make matters even more difficult, it also involves feed-back pathways by which, for example, proteins, mechanical forces at the level of tissues and organs, and environmental factors regulate function at lower levels such as the gene. Computational models, Winslow said, help us to understand these complex interactions, the nature of which is often highly complex and non-intuitive. Models like these allow researchers to understand disease mechanisms, aid in diagnosis, and test the effectiveness of different therapies.
By using computer models, he said, potential therapies can be tested "in silico" at high speed. The results can then be used to guide further experiments to gather new data to refine the models until they are highly predictive.
He also wanted to describe examples of computational medicine that are making their way out of research labs and into clinics where patients are being treated. This approach is being used to help develop better treatments for cancer, diabetes and heart disease. Researchers have found shape changes that appear to be associated with Alzheimer's disease and neuropsychiatric disorders, such as schizophrenia. Winslow said many challenges must still be overcome before computational medicine becomes a routine part of patient care.