Scientists have developed a method using machine learning to better analyze data from a powerful scientific tool: nuclear magnetic resonance (NMR). One way NMR data can be used is to understand proteins and chemical reactions in the human body. NMR is closely related to magnetic resonance imaging (MRI) for medical diagnosis.

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Researchers seek to point a way toward a unified theory for how DNA changes shape when expressing genes. The scientists use an approach called statistical mechanics to explore the phenomenon of so-called expression waves of gene regulation. The group hopes to reconcile a long-standing gulf between the two scientific fields most involved in the topic, using concepts common to biology and physics.

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Our subjective experience appears to us in a continuous stream of integrated information, and researchers now explore the question: Which characteristics should brain activity have to support this type of conscious experiences? The group searched for integrated structures that encompass most of the brain but change configuration from time to time. Their hypothesis was these structures should vanish during states of deep unconsciousness, such as deep sleep or while under general anesthetics.

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Researchers construct an embryo-like structure from human stem cells, resulting in a new way to study the earliest stages of development.

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Researchers used exosomes, tiny nanoparticles capable of being taken up by cells, to deliver novel protein into the cells of mice infected with HIV. The protein attached to HIVs' genetic material and prevented it from replicating, resulting in reduced levels of HIV in the bone marrow, spleen, and brain. The study paves the way for the development of novel delivery systems for suppressing HIV.

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A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new research shows.

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New research is providing a better understanding of what influences fussy eaters, and what is more likely to increase or decrease picky eating in children under 10.

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Researchers have shown that two lab-developed and nasally-delivered peptides helped slow the spread of alpha-synuclein in mice. 'If these results can be replicated in patients, it would be a remarkable advance in the treatment of devastating neurological disorders,' says the lead author.

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Humans read by 'pre-processing' written words to create a pipeline of meaning, according to new research.

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New research amongst the world's biggest consumers of dairy foods has shown that those with higher intakes of dairy fat - measured by levels of fatty acids in the blood - had a lower risk of cardiovascular disease compared to those with low intakes. Higher intakes of dairy fat were not associated with an increased risk of death.

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Researchers have developed a new method of bioprinting adult neuron cells. They're using a new laser-assisted technology that maintains high levels of cell viability and functionality.

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A new guideline has been developed to help scientists publish their research accurately and transparently. The AGReMA Statement (A Guideline for Reporting Mediation Analyses) provides recommendations for researchers who want to describe mediation analysis in their paper. Mediation analysis is primarily used to understand causation, ie how an intervention works or why it does not.

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Biologists discovered that a mutation in the ROR2 gene is linked to beak size reduction in numerous breeds of domestic pigeons. Surprisingly, different mutations in ROR2 also underlie a human disorder called Robinow syndrome. The ROR2 signaling pathway plays an important role in the craniofacial development of all vertebrates.

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Cancer-fighting immune cells in patients with lung cancer whose tumors do not respond to immunotherapies appear to be running on a different 'program' that makes them less effective than immune cells in patients whose cancers respond to these immune treatments, suggests a new study.

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The EVONANO platform allows scientists to grow virtual tumors and use artificial intelligence to automatically optimize the design of nanoparticles to treat them. The ability to grow and treat virtual tumors is an important step towards developing new therapies for cancer. Importantly, scientists can use virtual tumors to optimize design of nanoparticle-based drugs before they are tested in the laboratory or patients.

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