The origin and morphological character evolution of the paleotropical woody bamboos.

The woody bamboos (Bambusoideae) exhibit distinctive biological traits within Poaceae, such as highly lignified culms, rapid shoot growth, monocarpic mass flowering and nutlike or fleshy caryopses. Much of the remarkable morphological diversity across the subfamily exists within a single hexaploid clade, the paleotropical woody bamboos (PWB), making it ideal to investigate the factors underlying morphological evolution in woody bamboos. However, the origin and biogeographical history of PWB remain elusive, as does the effect of environmental factors on the evolution of their morphological characters.

Considering challenges for the new Alzheimer's drugs: Clinical, population, and health system perspectives.

Recent approvals of amyloid immunotherapy drugs for early Alzheimer's disease (AD) have been highly controversial. In this piece, we consider challenges from the clinical, population health, and health systems perspectives to the role that the new AD drugs might be expected to play, now and in the future, in alleviating the morbidity caused by AD in the population. Clinically, short-term effects are small, adverse events are frequent, treatment regimens are burdensome, and, crucially, long-term effects are unknown.

Across two phylogeographic breaks: Quaternary evolutionary history of a mountain aspen () in the Hengduan Mountains.

Biogeographical barriers to gene flow are central to plant phylogeography. In East Asia, plant distribution is greatly influenced by two phylogeographic breaks, the Mekong-Salween Divide and Tanaka-Kaiyong Line, however, few studies have investigated how these barriers affect the genetic diversity of species that are distributed across both. Here we used 14 microsatellite loci and four chloroplast DNA fragments to examine genetic diversity and distribution patterns of 49 populations of , a species that spans both the Mekong-Salween Divide and the Tanaka-Kaiyong Line in southwestern China.

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia.

Dementia poses a growing challenge for health services but remains stigmatized and under-recognized. Digital technologies to aid the earlier detection of dementia are approaching market. These include traditional cognitive screening tools presented on mobile devices, smartphone native applications, passive data collection from wearable, in-home and in-car sensors, as well as machine learning techniques applied to clinic and imaging data.

Conservation genomic investigation of an endangered conifer, , reveals low genetic diversity but also low genetic load.

Endangered species generally have small populations with low genetic diversity and a high genetic load. is an endangered conifer endemic to southwestern China. It was once considered extinct in the wild, but in 1999 was rediscovered.

Plastome phylogenomics and morphological traits analyses provide new insights into the phylogenetic position, species delimitation and speciation of Triplostegia (Caprifoliaceae).

Background: The genus Triplostegia contains two recognized species, T. glandulifera and T. grandiflora, but its phylogenetic position and species delimitation remain controversial.

Public engagement with genomics.

As detailed in its flagship report, Genome UK, the UK government recognises the vital role that broad public engagement across whole populations plays in the field of genomics. However, there is limited evidence about how to do this at scale. Most public audiences do not feel actively connected to science, are oftenunsure of the relevance to their lives and rarely talk to their family and friends about; we term this dis-connection a 'disengaged public audience'.

The legacy of language: What we say, and what people hear, when we talk about genomics.

The way we "talk" about genetics plays a vital role in whether public audiences feel at ease in having conversations about it. Our research explored whether there was any difference between "what we say" and "what people hear" when providing information about genetics to community groups who are known to be missing from genomics datasets. We conducted 16 focus groups with 100 members of the British public who had limited familiarity with genomics and self-identified as belonging to communities with Black African, Black Caribbean, and Pakistani ancestry as well as people of various ancestral heritage who came from disadvantaged socio-economic backgrounds.

Detecting value(s): Digital biomarkers for Alzheimer's disease and the valuation of new diagnostic technologies.

This article explores how the meanings and values of diagnosis are being reconfigured at the interface between technological innovation and imaginaries of precision medicine. From genome sequencing to biological and digital 'markers' of disease, technological innovation occupies an increasingly central space in the way we imagine future health and illness. These imaginaries are usually centred on the promise of faster, more precise and personalised diagnosis, and the associated hope that if detected early enough disease can be effectively treated and prevented.

Understanding 'passivity' in digital health through imaginaries and experiences of coronavirus disease 2019 contact tracing apps.

Growing interest is being directed to the health applications of so-called 'passive data' collected through wearables and sensors without active input by users. High promises are attached to passive data and their potential to unlock new insights into health and illness, but as researchers and commentators have noted, this mode of data gathering also raises fundamental questions regarding the subject's agency, autonomy and privacy. To explore how these tensions are negotiated in practice, we present and discuss findings from an interview study with 30 members of the public in the UK and Italy, which examined their views and experiences of the coronavirus disease 2019 contact tracing apps as a large-scale, high-impact example of digital health technology using passive data.

Digital phenotyping and the (data) shadow of Alzheimer's disease.

In this paper, we examine the practice and promises of digital phenotyping. We build on work on the 'data self' to focus on a medical domain in which the value and nature of knowledge and relations with data have been played out with particular persistence, that of Alzheimer's disease research. Drawing on research with researchers and developers, we consider the intersection of hopes and concerns related to both digital tools and Alzheimer's disease using the metaphor of the 'data shadow'.

Pervasive hybridization during evolutionary radiation of subgenus in mountains of southwest China.

Radiations are especially important for generating species biodiversity in mountainous ecosystems. The contribution of hybridization to such radiations has rarely been examined. Here, we use extensive genomic data to test whether hybridization was involved in evolutionary radiation within subgenus , whose members show strong geographic isolation in the mountains of southwest China.

The establishment of plants following long-distance dispersal.

Long-distance dispersal (LDD) beyond the range of a species is an important driver of ecological and evolutionary patterns, but insufficient attention has been given to postdispersal establishment. In this review, we summarize current knowledge of the post-LDD establishment phase in plant colonization, identify six key determinants of establishment success, develop a general quantitative framework for post-LDD establishment, and address the major challenges and opportunities in future research. These include improving detection and understanding of LDD using novel approaches, investigating mechanisms determining post-LDD establishment success using mechanistic modeling and inference, and comparison of establishment between past and present.

Ethical Frameworks for Disclosure of Alzheimer Disease Biomarkers to Research Participants: Conflicting Norms and a Nuanced Policy.

More and more frequently, clinical trials for Alzheimer disease (AD) are targeting cognitively unimpaired individuals who are at increased risk of developing the disease. It is not always clear whether AD biomarker information should be disclosed to research participants: on the one hand, research participants may be interested in learning this information because of its perceived utility, but on the other hand, learning this information may be harmful, as there are very few effective preventive or therapeutic options available for AD. In this article, we bring together three separate sets of ethical guidance literature: on the return of individual research results, on an individual's right to access personal data, and on transparent enrollment into clinical trials.

A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks.

The ability to use clinical and research data at scale is central to hopes for data-driven medicine. However, in using such data researchers often encounter hurdles-both technical, such as differing data security requirements, and social, such as the terms of informed consent, legal requirements and patient and public trust. Federated or distributed data networks have been proposed and adopted in response to these hurdles.