Predictive Modeling of Long-Term Survivors with Stage IV Breast Cancer Using the SEER-Medicare Dataset.

Importance: Treatment of women with stage IV breast cancer (BC) extends population-averaged survival by only a few months. Here, we develop a model for identifying individual circumstances where appropriate therapy will extend survival while minimizing adverse events.

Objective: Our goal is to develop high-confidence deep learning (DL) models to predict survival in individual stage IV breast cancer patients based on their unique circumstances generated by patient, cancer, treatment, and adverse event variables.

AI Survival Prediction Modeling: The Importance of Considering Treatments and Changes in Health Status over Time.

Background And Objectives: Deep learning (DL)-based models for predicting the survival of patients with local stages of breast cancer only use time-fixed covariates, i.e., patient and cancer data at the time of diagnosis.

New vaccination approach using formalin-killed Streptococcus pyogenes vaccine on the liver of Oreochromis niloticus fingerlings.

Newly synthesized vaccines prepared from formalin-killed bacteria Streptococcus pyogenes were investigated in the current study to evaluate the effectiveness of the newly synthesized vaccine as well as their safety by injected intraperitoneal. The study involved several steps 1st step is the preparation of the vaccine followed by the 2nd step: Evaluate the effectiveness and vaccine safety against pathogenic S. pyogenes through 4 different groups including control (Group I).

Correction: Wieder, R.; Adam, N. Racial Disparities in Breast Cancer Treatments and Adverse Events in the SEER-Medicare Data. 2023, , 4333.

[...

Temporal Association Rule Mining: Race-Based Patterns of Treatment-Adverse Events in Breast Cancer Patients Using SEER-Medicare Dataset.

Purpose: Disparities in the screening, treatment, and survival of African American (AA) patients with breast cancer extend to adverse events experienced with systemic therapy. However, data are limited and difficult to obtain. We addressed this challenge by applying temporal association rule (TAR) mining using the SEER-Medicare dataset for differences in the association of specific adverse events (AEs) and treatments (TRs) for breast cancer between AA and White women.

Formulation of novel bioactive gelatin inspired by cinnamaldehyde for combating multi-drug resistant bacteria: Characterization, molecular docking, pharmacokinetic analyses, and in vitro assessments.

This study set out to formulate antibacterial and antioxidant gelatin boosted by cinnamaldehyde for combating multi-drug resistant bacteria previously obtained from chronic wounds. Towards this end, gelatin amine groups were conjugated with carbonyl groups of cinnamaldehyde, producing cinnamyl-gelatin Schiff bases. The physicochemical attributes of cinnamyl-gelatin Schiff bases were probed concerning alterations in chemical structures and microstructures compared to native gelatin.

Predictions based on inflammatory cytokine profiling of Egyptian COVID-19 with 2 potential therapeutic effects of certain marine-derived compounds.

Backgrounds: A worldwide coronavirus pandemic has affected many healthcare systems in 2019 (COVID-19). Following viral activation, cytokines and chemokines are released, causing inflammation and tissue death, particularly in the lungs, resulting in severe COVID-19 symptoms such as pneumonia and ARDS. COVID-19 induces the release of several chemokines and cytokines in different organs, such as the cardiovascular system and lungs.

Modulation of MAPK/NF-κB Pathway and NLRP3 Inflammasome by Secondary Metabolites from Red Algae: A Mechanistic Study.

The pharmacological properties of seaweeds are diverse. No studies have been conducted on the protective effect of (GOE) against lippopolysaccharide (LPS)-induced inflammation in the brain. This study is divided into three phases, the first of which is the initial phase.

Racial Disparities in Breast Cancer Treatments and Adverse Events in the SEER-Medicare Data.

Despite lower incidence rates, African American (AA) patients have shorter survival from breast cancer (BC) than white (W) patients. Multiple factors contribute to decreased survival, including screening disparities, later presentation, and access to care. Disparities in adverse events (AEs) may contribute to delayed or incomplete treatment, earlier recurrence, and shortened survival.

Neuroprotective and nephroprotective effects of Ircinia sponge in polycyclic aromatic hydrocarbons (PAHs) induced toxicity in animal model: a pharmacological and computational approach.

The present study investigated the neuroprotective and nephroprotective effects of the sponge Ircinia sp. ethyl acetate extract (ISPE) against persistent aromatic pollutants in vitro and in vivo. Different exponential experimental assays were applied to this study.

The hepatoprotective candidates by synergistic formula of marine and terrestrial against Acetaminophen toxicity using and screening approach.

Background: One of the most regularly used hepatotoxic medicines is paracetamol (acetaminophen, -acetyl-p-aminophenol; APAP). It causes liver failure in overdoses but is safe at therapeutic dosages. Combination therapy combining many natural compounds with a synergistic impact as hepatoprotective agents has become an essential therapeutic method against various disorders.

A Framework for Dynamic Composition and Management of Emergency Response Processes.

An emergency response process outlines the workflow of different activities that need to be performed in response to an emergency. Effective emergency response requires communication and coordination with the operational systems belonging to different collaborating organizations. Therefore, it is necessary to establish information sharing and system-level interoperability among the diverse operational systems.

Drug repositioning for cancer in the era of AI, big omics, and real-world data.

Drug repositioning in cancer has been pursued for years because of slowing drug development, increasing costs, and the availability of drugs licensed for other indications with anticancer effects in the laboratory. Repositioning has encountered obstacles due to generally insufficient single-agent clinical anticancer effects of licensed drugs and a subsequent reluctance by pharmaceutical companies to invest in phase III combination studies with them. Here we review potential machine learning/artificial intelligence (ML/AI) approaches for using real-world data (RWD) that could overcome the limitations of clinical trials and retrospective analyses.

A review article on nanotechnology in aquaculture sustainability as a novel tool in fish disease control.

In recent decades, aquaculture has played a significant role in fulfilling the vast demand for animal protein requirements and consequently in food security. However, environmental contamination and disease prevalence are considered essential challenges for the sector. In this regard, new approaches have been paved in technology to deal effectively with such challenges.

Ameliorative role of Ulva extract against heavy metal mixture-induced cardiovascular through oxidative/antioxidant pathways and inflammatory biomarkers.

The current study investigates the therapeutic and curative effect of Ulva lactuca polyphenolic extract (ULPE) in general and particularly polyphenolics compounds against heavy metal mixture (HME). The toxicity behind heavy metal is due to oxidative stress resulted from heavy metals pollution or administration through contaminated food (vegetables, water, and fish). Heavy metal toxicity plays a major role in different cardiovascular diseases.

Anti-inflammatory, Antioxidant, Lung and Liver Protective Activity of as Antagonistic Efficacy against LPS using Hematological Parameters and Immunohistochemistry as Biomarkers.

Background: This study aimed to investigate the potential bioactivity and the ameliorative role of Galaxaura oblongata (G. oblongata) against LPS-induced toxicity using hematological parameters.

Objective: The objective of this study is to examine its protective effect using the immunohistochemistry of the liver and lungs as biomarkers in male BALB/C albino mice.

Red algae natural products for prevention of lipopolysaccharides (LPS)-induced liver and kidney inflammation and injuries.

Background: The liver and kidney inflammation due to bacterial infection is one of the most common pathological problems leading to tissue damage or disease. In many liver and kidney disorders, which represent serious global health burden with a high economic cost, oxidative stress-related inflammation and apoptosis are important pathogenic components, finally resulting in acute liver and/or kidney failure. Erythropoietin and its analogues are well known to influence the interaction between apoptosis and inflammation in liver and kidney.

Various Bioactivities of Secondary Metabolites Isolated from the Sponge from the Red Sea Coast of Egypt.

Objectives: The present study revealed the presence of bioactive constituents in sponge (HES) extract collected from the Red Sea using skin and scuba diving.

Materials And Methods: Cytotoxicity was tested against hepatocellular carcinoma cell lines as a prescreening test.

Results: The HES extract had high contents of total phenolic compounds (0.

Greater Survival Improvement in African American vs. Caucasian Women with Hormone Negative Breast Cancer.

African American women have not benefited equally from recently improved breast cancer survival. We investigated if this was true for all subsets. We identified 395,170 patients with breast adenocarcinoma from the SEER database from 1990 to 2011 with designated race, age, stage, grade, ER and PR status, marital status and laterality, as control.

Marine Algae of the Genus Gracilaria as Multi Products Source for Different Biotechnological and Medical Applications.

Background: Gracilaria has been shown to be an important source of marine bioactive natural biomaterials and compounds. Although there are no enough patents used Gracilaria worldwide, the current study tries to put the Gracilaria on the spot for further important patents in the future.

Objective: The current study investigates the pharmaceuticals and biochemical activity of Gracilaria because no previous studies have been carried out to examine the biochemical and pharmaceutical activates of Gracilaria from the Suez Canal of Egypt as an excellent source for bioactive compounds.

Pesudomance sp. Bacteria Associated with Marine Sponge as a Promising and Sustainable Source of Bioactive Molecules.

Background: The study was conducted to identify the bacterial strain associated with marine sponge Hyrtiosaff. erectus collected from the Red Sea coastal water and to assess the utilization of their secondary metabolites for human benefit as antioxidant, anti-Alzheimer, anti-viral, anticancer and anti-inflammatory agent.

Methods: After biochemical identification of Pesudomance sp.

DIFFERENTIALLY PRIVATE OUTLIER DETECTION IN A COLLABORATIVE ENVIRONMENT.

Outlier detection is one of the most important data analytics tasks and is used in numerous applications and domains. The goal of outlier detection is to find abnormal entities that are significantly different from the remaining data. Often the underlying data is distributed across different organizations.

Phytochemical and pharmacological screening of from Suez Canal, Egypt.

The current study investigates the phytochemical and pharmaceutical activities of (SVE) collected from the Suez Canal. The prescreening using cytotoxicity was tested against hepatocellular carcinoma cell lines. Furthermore the SVE inhibit cell growth effectively with IC50 = 20.

A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis.

Big data coupled with precision medicine has the potential to significantly improve our understanding and treatment of complex disorders, such as cancer, diabetes, depression, etc. However, the essential problem is that data are stuck in silos, and it is difficult to precisely identify which data would be relevant and useful for any particular type of analysis. While the process to acquire and access biomedical data requires significant effort, in many cases the data may not provide much insight to the problem at hand.