Ontology Mapping and Data Discovery for the Translational Investigator

An integrated data repository (IDR) containing aggregations of clinical, biomedical, economic, administrative, and public health data is a key component of an overall translational research infrastructure. But most available data repositories are designed using standard data warehouse architecture that employs arbitrary data encoding standards, making queries across disparate repositories difficult. In response to these shortcomings we have designed a Health Ontology Mapper (HOM) that translates terminologies into formal data encoding standards without altering the underlying source data. We believe the HOM system promotes inter-institutional data sharing and research collaboration, and will ultimately lower the barrier to developing and using an IDR

Not business as usual: Engaging the corporate sector in India’s TB elimination efforts

India has the highest global burden of tuberculosis (TB), accounting for a quarter of the worldwide TB disease incidence. Given the magnitude of India’s epidemic, TB has enormous economic implications. Indeed, the majority of individuals with TB disease are in their prime years of economic productivity. Absenteeism and employee turnover due to TB have economic ramifications for employers. Furthermore, TB can easily spread in the workplace and compound the economic impact. Employers who fund workplace, community, or national TB initiatives stand to gain directly and also enjoy reputational benefits, which are important in the era of socially conscious investing. Corporate social responsibility laws in India and tax incentives can be leveraged to bring the logistical networks, reach, and innovative spirit of the private sector to bear on India’s formidable TB epidemic. In this perspective piece, we explore the economic impacts of TB; opportunities for and benefits from businesses contributing to TB elimination efforts; and strategies to enlist India’s corporate sector in the fight against TB

Ontology mapping and data discovery for the translational investigator.

An integrated data repository (IDR) containing aggregations of clinical, biomedical, economic, administrative, and public health data is a key component of an overall translational research infrastructure. But most available data repositories are designed using standard data warehouse architecture that employs arbitrary data encoding standards, making queries across disparate repositories difficult. In response to these shortcomings we have designed a Health Ontology Mapper (HOM) that translates terminologies into formal data encoding standards without altering the underlying source data. We believe the HOM system promotes inter-institutional data sharing and research collaboration, and will ultimately lower the barrier to developing and using an IDR

Electrode Modification through Click Chemistry Using Ni and Co Alkyne Phthalocyanines for Electrocatalytic Detection of Hydrazine

This work reports on the development of sensors for the detection of hydrazine using glassy carbon electrodes (GCE) modified with phthalocyanines through click chemistry. Tetrakis(5‐hexyn‐oxy) cobalt(II) phthalocyanine (complex 2) and tetrakis(5‐hexyn‐oxy) nickel(II) phthalocyanine (complex 3) were employed as electrode modifiers for hydrazine detection. The GCE was first grafted via the in situ diazotization of a diazonium salt, rendering the GCE surface layered with azide groups. From this point, the 1, 3‐dipolar cycloaddition reaction, catalysed by a copper catalyst was utilised to “click” the phthalocyanines to the surface of the grafted GCE. The modified electrodes were characterized by scanning electrochemical microscopy, X‐ray photoelectron spectroscopy and cyclic voltammetry. The electrografted CoP2‐clicked‐GCE and NiP3‐clicked‐GCE exhibited electrocatalytic activity towards the detection of hydrazine. The limit of detection (LoD) for the CoPc‐GCE was 6.09 μM, while the NiPc‐GCE had a LoD of 8.69 μM. The sensitivity was 51.32 μA mM−1 for the CoPc‐GCE and 111.2 μA mM−1 for the NiPc‐GCE