Revolutionizing Chronic Obstructive Pulmonary Disease Care with the Open AI Application: ChatGPT.

Chronic Obstructive Pulmonary Disease (COPD) is one of the major and leading threats to human being. To cope with this health challenge, several studies have been undertaken in the literature. However, COPD is not paid close attention to eliminate it entirely. The current study aims to examine the role of ChatGPT application to bring improvement in controlling and managing COPD in patients. ChatGPT is used to give prompt answers of text-based questions in a variety of fields. It has potential role in knowing the symptoms of COPD, and letting individuals to modify their life styles. ChatGPT suggests medications for COPD individuals based on the established medical guidelines. Compared to the literature, ChatGPT provides a comprehensive list of COPD test and evaluation methods. ChatGPT has the potential to help physicians to take decisions in diagnosing, treating, and managing COPD among individuals in its upcoming versions. More researches can be conducted to identify the limits of ChatGPT application in future works.

An audit of transfusion reaction monitoring and reporting at a cancer hospital in Pakistan - a step towards haemovigilance.

OBJECTIVE: To monitor the frequencies of different adverse transfusion reactions and to assess the compliance of clinical staff with the process of sending proper transfusion reaction workup within the specified time. METHODS: The retrospective audit was conducted at the blood bank of Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, and comprised all transfusion reaction forms received from July 1, 2017, to June 30, 2018. The forms were analysed for type of blood component, time in which it was received by the blood bank, whether or not the form was completely filled, whether or not all required samples were provided, and the type of reaction. RESULTS: Of the 12,787 units dispensed and transfused, 50(0.39%) transfusion reactions were noted. Allergic was the most frequent type 24(48%). Red cells accounted for 38(76%) of the reactions. In 58(95%) cases, reaction forms were completely filled. Blood bags in 36(59%) and post-transfusion ethylenediaminetetra acetic acid samples in 35(57.3%) cases were received at blood bank within 2 hours of reaction. CONCLUSIONS: Incidence of transfusion reactions was found to be low as there was good compliance with procedures on the part of the clinical staff.

Parameter estimation of qualitative biological regulatory networks on high performance computing hardware.

BACKGROUND: Biological Regulatory Networks (BRNs) are responsible for developmental and maintenance related functions in organisms. These functions are implemented by the dynamics of BRNs and are sensitive to regulations enforced by specific activators and inhibitors. The logical modeling formalism by René Thomas incorporates this sensitivity with a set of logical parameters modulated by available regulators, varying with time. With the increase in complexity of BRNs in terms of number of entities and their interactions, the task of parameters estimation becomes computationally expensive with existing sequential SMBioNET tool. We extend the existing sequential implementation of SMBioNET by using a data decomposition approach using a Java messaging library called MPJ Express. The approach divides the parameters space into different regions and each region is then explored in parallel on High Performance Computing (HPC) hardware. RESULTS: The performance of the parallel approach is evaluated on BRNs of different sizes, and experimental results on multicore and cluster computers showed almost linear speed-up. This parallel code can be executed on a wide range of concurrent hardware including laptops equipped with multicore processors, and specialized distributed memory computer systems. To demonstrate the application of parallel implementation, we selected a case study of Hexosamine Biosynthetic Pathway (HBP) in cancer progression to identify potential therapeutic targets against cancer. A set of logical parameters were computed for HBP model that directs the biological system to a state of recovery. Furthermore, the parameters also suggest a potential therapeutic intervention that restores homeostasis. Additionally, the performance of parallel application was also evaluated on a network (comprising of 23 entities) of Fibroblast Growth Factor Signalling in Drosophila melanogaster. CONCLUSIONS: Qualitative modeling framework is widely used for investigating dynamics of biological regulatory networks. However, computation of model parameters in qualitative modeling is computationally intensive. In this work, we presented results of our Java based parallel implementation that provides almost linear speed-up on both multicore and cluster platforms. The parallel implementation is available at https://psmbionet.github.io .

Electrochemical Comparison of SAN/PANI/FLG and ZnO/GO Coated Cast Iron Subject to Corrosive Environments.

ZnO/GO (Graphene Oxide) and SAN (Styrene Acrylonitrile)/PANI (Polyaniline)/FLG (Few Layers Graphene) nanocomposite coatings were produced by solution casting and sol-gel methods, respectively, to enhance corrosion resistance of ferrous based materials. Corrosive seawater and 'produced crude oil water' environments were selected as electrolytes for this study. Impedance and coating capacitance values obtained from Electrochemical Impedance Spectroscopy (EIS) Alternating Current (AC technique) showed enhanced corrosion resistance of nanocomposites coatings in the corrosive environments. Tafel scan Direct Current (DC technique) was used to find the corrosion rate of nanocomposite coating. SAN/PANI/FLG coating reduced the corrosion of bare metal up to 90% in seawater whereas ZnO/GO suppressed the corrosion up to 75% having the impedance value of 100 Ω. In produced water of crude oil, SAN/PANI/FLG reduced the corrosion up to 95% while ZnO/GO suppressed the corrosion up to 10%. Hybrid composites of SAN/PANI/FLG coatings have demonstrated better performances compared to ZnO/GO in the corrosive environments under investigation. This study provides fabrication of state-of-the-art novel anti corrosive nanocomposite coatings for a wide range of industrial applications. Reduced corrosion will result in increased service lifetime, durability and reliability of components and system and will in turn lead to significant cost savings.