Digital Health in Response to COVID-19 in Low- and Middle-income Countries: Opportunities and Challenges.

COVID-19 has pulled back the curtain on health system fragility to expose persistent and deepening inequities worldwide. The limited capacity of low- and lower-middle income countries (LMICs) to respond to the pandemic and its impact on the health of populations - particularly the most vulnerable - presents a marked challenge. In this context, countries face the enormous task of rethinking the way essential services will be delivered.

Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India.

In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world's largest insurance program. To meet this target, the government will rely on technology to effectively scale services, monitor quality, and ensure accountability. While India has seen great strides in informational technology development and outsourcing, cellular phone penetration, cloud computing, and financial technology, the digital health ecosystem is in its nascent stages and has been waiting for a catalyst to seed the system.

Symposium review: Interaction of starter cultures and nonstarter lactic acid bacteria in the cheese environment.

The microbiota of ripening cheese is dominated by lactic acid bacteria, which are either added as starters and adjunct cultures or originate from the production and processing environments (nonstarter or NSLAB). After curd formation and pressing, starters reach high numbers, but their viability then decreases due to lactose depletion, salt addition, and low pH and temperature. Starter autolysis releases cellular contents, including nutrients and enzymes, into the cheese matrix.

Microbiota Characterization of Compost Using Omics Approaches Opens New Perspectives for Phytophthora Root Rot Control.

Phytophthora root rot caused by Phytophthora nicotianae is an economically important disease in pepper crops. The use of suppressive composts is a low environmental impact method for its control. Although attempts have been made to reveal the relationship between microbiota and compost suppressiveness, little is known about the microorganisms associated with disease suppression.

The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making.

Aim: The primary aim of this study was to evaluate 23 pathogens associated with peri-implantitis at inner part of implant connections, in peri-implant and periodontal pockets between patients suffering peri-implantitis and participants with healthy peri-implant tissues; the secondary aim was to estimate the predictive value of microbiological profile in patients wearing dental implants using data mining methods.

Material And Methods: Fifty participants included in the present case─control study were scheduled for collection of plaque samples from the peri-implant pockets, internal connection, and periodontal pocket. Real-time polymerase chain reaction was performed to quantify 23 pathogens.