Multisource Data Framework for Prehospital Emergency Triage in Real-Time IoMT-Based Telemedicine Systems.

Background And Objective: The Internet of Medical Things (IoMT) has revolutionized telemedicine by enabling the remote monitoring and management of patient care. Nevertheless, the process of regeneration presents the difficulty of effectively prioritizing the information of emergency patients in light of the extensive amount of data generated by several integrated health care devices. The main goal of this study is to be improving the procedure of prioritizing emergency patients by implementing the Real-time Triage Optimization Framework (RTOF), an innovative method that utilizes diverse data from the Internet of Medical Things (IoMT).

Extraction and characterization of valuable compounds from chicken sternal cartilage: Type II collagen and chondroitin sulfate.

Type II collagen (Col II) and chondroitin sulfate (CS) are the main macromolecules in the extracellular matrix. This study investigated the characteristics of Col II and CS obtained from chicken sternal cartilage (CSC) via enzymatic hydrolysis for various treatment times. For Col II and CS, the highest efficiency of enzymatic hydrolysis was achieved after 24 and 6 h of treatment, respectively.

Into the metabolic wild: Unveiling hidden pathways of microbial metabolism.

Microbial metabolism has been deeply studied over decades and it is considered to be understood to a great extent. Annotated genome sequences of many microbial species have contributed a lot to generating biochemical knowledge on metabolism. However, researchers still discover novel pathways, unforeseen reactions or unexpected metabolites which contradict to the expected canon of biochemical reactions in living organisms.

Efficient production of itaconic acid from the single-carbon substrate methanol with engineered Komagataella phaffii.

Background: Amidst the escalating carbon dioxide levels resulting from fossil fuel consumption, there is a pressing need for sustainable, bio-based alternatives to underpin future global economies. Single-carbon feedstocks, derived from CO, represent promising substrates for biotechnological applications. Especially, methanol is gaining prominence for bio-production of commodity chemicals.

Single carbon metabolism - A new paradigm for microbial bioprocesses?

Increasing atmospheric carbon dioxide levels, a reduction of arable land area and the dependence of first and second generation biotechnology feedstocks on agricultural products, call for alternative, sustainable feedstock sources for industrial applications. The direct use of CO or conversion of CO into other single carbon (C1) sources have great potential as they might help to reduce carbon emissions and do not compete with agricultural land use. Here we discuss the microbial use of C1 carbon sources, their potential applications in biotechnology, and challenges towards sustainable C1-based industrial biotechnology processes.

Fermenting the future - on the benefits of a bioart collaboration.

In this article we explore the intersection of science and art through a collaboration between us scientists and the bioartists Anna Dimitriu and Alex May, focusing on the interface of yeast biotechnology and art. The collaboration, originally initiated in 2018, resulted in three major artworks: CULTURE, depicting the evolution of yeast and human societies; FERMENTING FUTURES, illustrating a synthetic autotrophic yeast and its link to lactic acid production; and WOOD SPIRIT-AMBER ACID, inspired by the VIVALDI project targeting CO2 reduction to methanol. We emphasize the reciprocal nature of the collaboration, detailing the scientific insights gained and the impact of artistic perspectives on us as researchers.

A native phosphoglycolate salvage pathway of the synthetic autotrophic yeast .

Synthetic autotrophs can serve as chassis strains for bioproduction from CO as a feedstock to take measures against the climate crisis. Integration of the Calvin-Benson-Bassham (CBB) cycle into the methylotrophic yeast () enabled it to use CO as the sole carbon source. The key enzyme in this cycle is ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) catalyzing the carboxylation step.

Structural and molecular characterization of collagen-type I extracted from lamb feet.

This study aimed to extract collagen-I from lamb feet (LF) and examine the effects of ultrasound treatment on the structural and molecular characteristics of the collagen. Compared to ultrasonic bath treatment and conventional extraction methods, ultrasonic probe (USP) treatment significantly increased the collagen content of the extract (p < 0.05).

Impact of the SARS-CoV-2 pandemic on the overall respiratory viruses' transmission in a cancer care setting.

Introduction And Objective: The emergence of the COVID-19 pandemic raised questions about the interaction between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory viruses. The objective of this study is to validate the impact of the SARS-CoV-2 pandemic and its interventional measures on the respiratory viruses' transmission/infection rates.

Methods: A retrospective chart review was conducted for cancer patients who underwent laboratory-confirmed respiratory virus polymerase chain reaction (PCR) testing from January 2018 to June 2022.

Carbon efficient production of chemicals with yeasts.

Microbial metabolism offers a wide variety of opportunities to produce chemicals from renewable resources. Employing such processes of industrial biotechnology provides valuable means to fight climate change by replacing fossil feedstocks by renewable substrate to reduce or even revert carbon emission. Several yeast species are well suited chassis organisms for this purpose, illustrated by the fact that the still largest microbial production of a chemical, namely bioethanol is based on yeast.

The potential of CO-based production cycles in biotechnology to fight the climate crisis.

Rising CO emissions have pushed scientists to develop new technologies for a more sustainable bio-based economy. Microbial conversion of CO and CO-derived carbon substrates into valuable compounds can contribute to carbon neutrality and sustainability. Here, we discuss the potential of C1 carbon sources as raw materials to produce energy, materials, and food and feed using microbial cell factories.

Classification of melanonychia, Beau's lines, and nail clubbing based on nail images and transfer learning techniques.

Background: Nail diseases are malformations that appear on the nail plate and are classified according to their own signs and symptoms that may be related to other medical conditions. Although most nail diseases have distinct symptoms, making a differential diagnosis of nail problems can be challenging for medical experts.

Method: One early diagnosis method for any dermatological disease is designing an image analysis system based on artificial intelligence (AI) techniques.

Multi-objective deep learning framework for COVID-19 dataset problems.

Background: It has been reported that a deadly virus known as COVID-19 has arisen in China and has spread rapidly throughout the country. The globe was shattered, and a large number of people on the planet died. It quickly became an epidemic due to the absence of apparent symptoms and causes for patients, confusion appears due to the lack of sufficient laboratory results, and its intelligent algorithms were used to make decisions on clinical outcomes.

Diagnosing Coronary Artery Disease on the Basis of Hard Ensemble Voting Optimization.

Background and Objectives: Recently, many studies have focused on the early diagnosis of coronary artery disease (CAD), which is one of the leading causes of cardiac-associated death worldwide. The effectiveness of the most important features influencing disease diagnosis determines the performance of machine learning systems that can allow for timely and accurate treatment. We performed a Hybrid ML framework based on hard ensemble voting optimization (HEVO) to classify patients with CAD using the Z-Alizadeh Sani dataset.

Conversion of CO into organic acids by engineered autotrophic yeast.

The increase of CO emissions due to human activity is one of the preeminent reasons for the present climate crisis. In addition, considering the increasing demand for renewable resources, the upcycling of CO as a feedstock gains an extensive importance to establish CO-neutral or CO-negative industrial processes independent of agricultural resources. Here we assess whether synthetic autotrophic () can be used as a platform for value-added chemicals using CO as a feedstock by integrating the heterologous genes for lactic and itaconic acid synthesis.

Pushing and pulling proteins into the yeast secretory pathway enhances recombinant protein secretion.

Yeasts and especially Pichia pastoris (syn Komagataella spp.) are popular microbial expression systems for the production of recombinant proteins. One of the key advantages of yeast host systems is their ability to secrete the recombinant protein into the culture media.

Active Safety Surveillance of Four Types of COVID-19 Vaccines: A National Study from Jordan.

Background: Although the Pfizer-BioNTech (BNT162b2), Oxford-AstraZeneca (ChAdOx1 nCoV-19), Sinopharm (BBIBP-CorV), and Sputnik V coronavirus disease 2019 (COVID-19) vaccines have been granted emergency approval in many nations, their safety has never been studied and compared in one community-based study. This study aimed to investigate and compare the incidence, nature, severity, and predictors of adverse events following immunization (AEFIs) with COVID-19 vaccines.

Method: This was a prospective observational study conducted in Jordan between 1 January and 21 September 2021.

Genotypic and phenotypic diversity among Komagataella species reveals a hidden pathway for xylose utilization.

Background: The yeast genus Komagataella currently consists of seven methylotrophic species isolated from tree environments. Well-characterized strains of K. phaffii and K.

Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network.

The coronavirus pandemic has affected people all over the world and posed a great challenge to international health systems. To aid early detection of coronavirus disease-2019 (COVID-19), this study proposes a real-time detection system based on the Internet of Things framework. The system collects real-time data from users to determine potential coronavirus cases, analyses treatment responses for people who have been treated, and accurately collects and analyses the datasets.

What makes Komagataella phaffii non-conventional?

The important industrial protein production host Komagataella phaffii (syn Pichia pastoris) is classified as a non-conventional yeast. But what exactly makes K. phaffii non-conventional? In this review, we set out to address the main differences to the 'conventional' yeast Saccharomyces cerevisiae, but also pinpoint differences to other non-conventional yeasts used in biotechnology.

Hybrid Feature Selection Framework for the Parkinson Imbalanced Dataset Prediction Problem.

: Recently, many studies have focused on the early detection of Parkinson's disease (PD). This disease belongs to a group of neurological problems that immediately affect brain cells and influence the movement, hearing, and various cognitive functions. Medical data sets are often not equally distributed in their classes and this gives a bias in the classification of patients.

Genomic chronicle of SARS-CoV-2: a mutational analysis with over 1 million genome sequences.

Use of information technologies to analyse big data on SARS-CoV-2 genome provides an insight for tracking variations and examining the evolution of the virus. Nevertheless, storing, processing, alignment and analyses of these numerous genomes are still a challenge. In this study, over 1 million SARS-CoV-2 genomes have been analysed to show distribution and relationship of variations that could enlighten development and evolution of the virus.

Fermenting Futures: an artistic view on yeast biotechnology.

BioArt is a new discipline where artists employ materials and techniques of modern life sciences and create novel meanings of biology, often involving living organisms such as tissue culture, bacteria and yeasts, which may also be genetically engineered. The authors have engaged in a collaboration to develop 'Fermenting Futures', a project designed to explore the significance of yeast for early human history by enabling baking and brewing, all the way to industrial biotechnology and synthetic biology with their potential contributions to fight the climate change. Research in two of the authors' lab provides the materials and thematic lines for the artists to develop their installations.

Slow Growth and Increased Spontaneous Mutation Frequency in Respiratory Deficient Yeast Suppressed by a Dominant Mutation in .

A yeast deletion mutation in the nuclear-encoded gene, , which codes for a mitochondrial ribosomal protein, led to slow growth on glucose, the inability to grow on glycerol or ethanol, and loss of mitochondrial DNA and respiration. We noticed that yeast readily obtains secondary mutations that suppress aspects of this phenotype, including its growth defect. We characterized and identified a dominant missense suppressor mutation in the gene.

Evaluation of the potency of FDA-approved drugs on wild type and mutant SARS-CoV-2 helicase (Nsp13).

SARS-CoV-2 has caused COVID-19 outbreak with nearly 2 M infected people and over 100K death worldwide, until middle of April 2020. There is no confirmed drug for the treatment of COVID-19 yet. As the disease spread fast and threaten human life, repositioning of FDA approved drugs may provide fast options for treatment.