Progesterone Primed Ovarian Stimulation (PPOS) vs. clomiphene Primed Ovarian Stimulation (CPOS) in high responder (HR) patients undergoing controlled ovarian stimulation. A Randomised Control trial.

Objective: To compare the efficacy and safety of PPOS and CPOS in high-responder patients undergoing COS for IVF.

Methods: This one-year prospective, randomized, controlled trial included 86 high-responder patients. They were divided into PPOS (n=44) and CPOS (n=42).

Rapid Shallow Breathing Index and Ultrasonographic Diaphragmatic Parameters as Predictors of Weaning Outcome in Critically Ill Patients on Mechanical Ventilation.

Background: Successful weaning is a crucial element in care toward critically ill patients on mechanical ventilation. An attempt was made to propose and assess a reliable predictor of weaning outcome.

Materials And Methods: A prospective observational study was conducted on 76 patients on mechanical ventilation, assessed by Acute Physiology and Chronic Health Evaluation II (APACHE II) score.

Improved levan production by novel Calidifontibacillus erzurumensis LEV207 using one variable at a time approach.

Levan, an exopolysaccharide, has applications in the medical and food sectors. Under natural conditions, levan is produced at a low concentration by microorganisms. This current study focuses on optimizing levan production by a one-variable-at-a-time approach from a novel marine bacterium, Calidifontibacillus erzurumensis LEV207.

A Case Report of Caudal Migration of a Lumbar Epidural Catheter Confirmed by Doppler Ultrasound: Ultrasound to the Rescue!

Combined spinal-epidural anaesthesia is an excellent technique for providing intraoperative and postoperative analgesia in patients undergoing total knee arthroplasty. Epidural catheters threaded through a Tuohy needle with a cephalad needle bevel orientation follow a winding pattern within the epidural space. Caudal or downward migration of an epidural catheter may lead to unsatisfactory anaesthesia and epidural failure.

Design, synthesis, and biological evaluation of novel quinoxaline aryl ethers as anticancer agents.

We designed and synthesized thirty novel quinoxaline aryl ethers as anticancer agents, and the structures of final compounds were confirmed with various analytical techniques like Mass, H NMR, C NMR, FTIR, and elemental analyses. The compounds were tested against three cancer cell lines: colon cancer (HCT-116), breast cancer (MDA-MB-231), prostate cancer (DU-145), and one normal cell line: human embryonic kidney cell line (HEK-293). The obtained results indicate that two compounds, FQ and MQ, with IC values < 16 μM, were the most active compounds.

A bird's-eye view of pathologist over diagnostic confusion of oral cavity lesions.

Introduction: Oral cavity can be host to multitude of neoplastic, premalignant or non neoplastic pathological lesions. Diagnosis of lesions of oral cavity is always of interest to clinician and pathologist and rely on clinical appearance of lesions. There can be variation in diagnosis of clinical lesion with histopathology.

Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study.

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease whose diagnosis depends on the presence of combined lower motor neuron (LMN) and upper motor neuron (UMN) degeneration. LMN degeneration assessment is aided by electromyography, whereas no equivalent exists to assess UMN dysfunction. Magnetic resonance imaging (MRI) is primarily used to exclude conditions that mimic ALS.

Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.

Supervised deep learning-based methods yield accurate results for medical image segmentation. However, they require large labeled datasets for this, and obtaining them is a laborious task that requires clinical expertise. Semi/self-supervised learning-based approaches address this limitation by exploiting unlabeled data along with limited annotated data.

Influence of ultraviolet and chemical treatment on the biodegradation of low-density polyethylene and high-density polyethylene by Cephalosporium strain.

In the present work, the potential of Cephalosporium strain in degrading the pre-treated (ultraviolet irradiation followed by nitric acid treatment) low-density polyethylene and high-density polyethylene films was investigated. Our observations revealed a significant weight reduction of 24.53 ± 0.

Indian Society for Assisted Reproduction Consensus Guidelines on Preimplantation Genetic Testing in Fertilization Clinics.

Study Question: What are the good practice guidelines for Pre implantation genetic testing applicable in INDIA?

What Is Already Known: Pre-Implantation Genetic Testing (PGT) is not new in India. It is used to identify euploid embryos for transfer, thus enabling couples to achieve a healthy pregnancy. There has been a lot of controversy surrounding PGT in the international forums; most of these debates have failed to reach a consensus on whether PGT should be offered or its concerns be validated more.

Cross-Reactive SARS-CoV-2 Neutralizing Antibodies From Deep Mining of Early Patient Responses.

Passive immunization using monoclonal antibodies will play a vital role in the fight against COVID-19. The recent emergence of viral variants with reduced sensitivity to some current antibodies and vaccines highlights the importance of broad cross-reactivity. This study describes deep-mining of the antibody repertoires of hospitalized COVID-19 patients using phage display technology and B cell receptor (BCR) repertoire sequencing to isolate neutralizing antibodies and gain insights into the early antibody response.

Whole-body Composition Profiling Using a Deep Learning Algorithm: Influence of Different Acquisition Parameters on Algorithm Performance and Robustness.

Objectives: To develop, test, and validate a body composition profiling algorithm for automated segmentation of body compartments in whole-body magnetic resonance imaging (wbMRI) and to investigate the influence of different acquisition parameters on performance and robustness.

Materials And Methods: A segmentation algorithm for subcutaneous and visceral adipose tissue (SCAT and VAT) and total muscle mass (TMM) was designed using a deep learning U-net architecture convolutional neuronal network. Twenty clinical wbMRI scans were manually segmented and used as training, validation, and test datasets.

Semi-supervised task-driven data augmentation for medical image segmentation.

Supervised learning-based segmentation methods typically require a large number of annotated training data to generalize well at test time. In medical applications, curating such datasets is not a favourable option because acquiring a large number of annotated samples from experts is time-consuming and expensive. Consequently, numerous methods have been proposed in the literature for learning with limited annotated examples.

Test-time adaptable neural networks for robust medical image segmentation.

Convolutional Neural Networks (CNNs) work very well for supervised learning problems when the training dataset is representative of the variations expected to be encountered at test time. In medical image segmentation, this premise is violated when there is a mismatch between training and test images in terms of their acquisition details, such as the scanner model or the protocol. Remarkable performance degradation of CNNs in this scenario is well documented in the literature.

Effect of water stress on the physiological and biochemical responses of two different Coleus (Plectranthus) species.

Introduction: Effect of water stress on the physiology and biochemistry of two different Coleus species, Coleus forskholii and Coleus amboinicus, was studied.

Materials And Methods: Drought stress was imposed by withholding the water supply until leaf water potentials reached -0.4, -0.

Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study.

Purpose: To evaluate the interreader variability in prostate and seminal vesicle (SV) segmentation on T2w MRI.

Methods: Six readers segmented the peripheral zone (PZ), transitional zone (TZ) and SV slice-wise on axial T2w prostate MRI examinations of n = 80 patients. Twenty different similarity scores, including dice score (DS), Hausdorff distance (HD) and volumetric similarity coefficient (VS), were computed with the VISCERAL EvaluateSegmentation software for all structures combined and separately for the whole gland (WG = PZ + TZ), TZ and SV.

The validity of RFID badges measuring face-to-face interactions.

Face-to-face interactions are important for a variety of individual behaviors and outcomes. In recent years, a number of human sensor technologies have been proposed to incorporate direct observations in behavioral studies of face-to-face interactions. One of the most promising emerging technologies is the application of active Radio Frequency Identification (RFID) badges.

Audit of Bilateral Simultaneous Cochlear Implantation in Pediatric Population: South Indian Study.

Objective: To conduct a medical audit of bilateral simultaneous cochlear implantation (CI) in patients with severe prelingual sensorineural hearing loss (SNHL).

Methods: A medical audit of a tertiary care ear, nose, and throat center in Southern India was conducted on data collected from January 2007 to December 2014. All cochlear implantees <6 years of age with severe bilateral SNHL who underwent bilateral simultaneous CI were included in the present study.