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Steroids

Steroids are a class of organic compounds that include hormones, vitamins, and other important biological molecules.
They are characterized by a common sterane or steroid nucleus, a fused four-ring system with various functional groups attached.
Steroids play crucial roles in the human body, regulating diverse physiological processes such as metabolism, immune function, and stress response.
Resaerch on steroids is important for understanding their therapeutic applications and potential side effects.
However, ensuring accuracy and reproducibility in steroid research can be challenging.
PubCompare.ai's AI-powered tools can help locaate the best protocols from literature, preprints, and patents, optimizing steroid research and enhancing its reliability.

Most cited protocols related to «Steroids»

1
Rosiglitazone for Ulcerative Colitis: A Placebo-Controlled Trial
Cited 179 times
Data for this study were acquired from a recently completed placebo-controlled randomized trial of rosiglitazone for mild to moderately active ulcerative colitis (clinicaltrials.gov #NCT00065065) which has been described in greater detail previously.7 (link) The trial used a slight modification of the Mayo score to assess disease activity (Table 1). Specifically, the bleeding component as described in the Mayo index was modified such that a score of 3 required both visible blood in 50% or more of bowel movements and at least some bowel movements with blood alone.
The study included 105 patients with mild to moderately active disease defined as a total DAI score of 4 to 10, inclusively. Patients were randomized in a 1:1 ratio to receive either rosiglitazone 4 mg or placebo twice daily for 12 weeks. Disease activity was measured at randomization and every four weeks thereafter until week 12, however lower endoscopy was only completed at week 0 and week 12, such that only a partial Mayo score (9 point scale that excludes the endoscopic appearance of the mucosa) could be calculated at the interim visits. In the very early accrual period of the study, a follow-up visit was included at week 2. Without knowledge of the response rates in either arm, the Data and Safety Monitoring Board (DSMB) requested that the week 2 follow-up evaluation be eliminated with the hopes of minimizing the placebo response rate and maximizing recruitment and retention.6 (link), 8 (link), 9 (link) Eighteen patients completed the week 2 follow-up visit.
During the course of the study, patients could be treated with other conventional medications used to treat active ulcerative colitis including mesalamine, oral corticosteroids, immunomodulators, or topical therapies (mesalamine or corticosteroids) at stable doses. Use of corticosteroids at doses greater than 20mg per day of prednisone or the equivalent was an exclusion criterion. Steroid tapering was not permitted during the study.
In anticipation of this sub-study, at each visit we also included questions about change in disease activity compared to the previous visit and compared to the randomization visit on a global seven-point scale (Table 2). The choices included much better, moderately better, a little better, unchanged, a little worse, moderately worse, and much worse. Patients also graded their current disease activity at each visit on a 6 point Likert scale – perfect, very good (minimal symptoms), good (only mild symptoms), moderately active, moderately severe, or severe. Data on quality of life were measured with the Inflammatory Bowel Disease Questionnaire (IBDQ) authored by Dr. Jan Irvine under license from McMaster University, Hamilton, Canada.10 (link)
Lewis J.D., Chuai S., Nessel L., Lichtenstein G.R., Aberra F.N, & Ellenberg J.H. (2008). Use of the Non-invasive Components of the Mayo Score to Assess Clinical Response in Ulcerative Colitis. Inflammatory bowel diseases, 14(12), 1660-1666.
Publication 2008
Adrenal Cortex Hormones BLOOD Clinical Trials Data Monitoring Committees Defecation Endoscopy Endoscopy, Gastrointestinal Immunologic Adjuvants Inflammatory Bowel Diseases Mesalamine Mucous Membrane Patients Pharmaceutical Preparations Placebos Prednisone Retention (Psychology) Rosiglitazone Steroids Ulcerative Colitis
2
Constructing a Structure-Based Chemical Ontology from Existing Nomenclature
Cited 56 times
Each node or category name in ClassyFire’s chemical ontology or ChemOnt, was created by extracting common or existing chemical classification category terms from the scientific literature and available chemical databases. We used existing terms to avoid “reinventing the wheel”. By making use of commonly recognized or widely used terms that already exist in the chemical literature, we believed that the taxonomy (and the corresponding ontology) should be more readily adopted and understood. This dictionary creation process was iterative and required the manual review of a large number of specialized chemical databases, textbooks and chemical repositories. Because the same compounds can often be classified into multiple categories, an analysis of the specificity of each categorical term was performed. Those terms that were determined to be clearly generic (e.g. organic acid, organoheterocyclic compound) or described large numbers of known compounds were assigned to SuperClasses. Terms that were highly specific (e.g. alpha-imino acid or derivatives, yohimbine alkaloids) or which described smaller numbers of compounds that clearly fell within a larger SuperClass were assigned to Classes or SubClasses. This assignment also depended on their relationship to higher-level categories. In some cases multiple, equivalent terms were used to describe the same compounds or categories (imidazolines vs. dihydroimidazoles). To resolve these disputes, the frequency with which the competing terms were used was objectively measured (using Google page statistics or literature count statistics). Those having the highest frequency would generally take precedence. However, attention was also paid to the scientific community and expert panels. When available, the IUPAC term was used to name a specific category. Otherwise, if the experts clearly recommended a set of (less frequently used) terms, these would take precedence over terms initially chosen by our initial “popularity” selection criteria. Examples include the terms “Imidazolines” (229,000 Google hits) and “Dihydroimidazoles” (4590 Google hits). The other popular terms were then added as synonyms. A total of 9012 English synonyms were added to the ChemOnt terminology data set.
In a number of cases, new SuperClass and Class terms were created for chemical categories not explicitly defined in the literature. Of these, the resulting “novel” categories were typically constructed from the IUPAC nomenclature for organic and inorganic compounds. Because our chemical dictionary was built from extant or common terms, it contains many community-specific categories commonly used in the (bio-)chemical nomenclature (e.g. primary amines, steroids, nucleosides). Moreover, due to the diverse nature of active and biologically interesting compounds, many chemical categories linked to specific chemical activities or based on biomimetic skeletons (e.g. alpha-sulfonopeptides, piperidinylpiperidines) were added. For instance, several compounds from the category of imidazo[1,2-a]pyrimidines (CHEMONTID:0004377) have been shown to display GABA(A) antagonist activity, and a potential to treat anxiety disorders [35 (link)].
After all the dictionary terms were identified and compiled (4825 terms to date), each term was formally defined using a precise, yet easily understood text description that included the structural features corresponding to that chemical category (Fig. 3). These formal definitions and the corresponding category mappings formed the basis of the structural classification algorithm and the classification rules described below. Once defined, the terms in this Chemical Classification Dictionary were progressively added to the taxonomic structure to form the structure-based hierarchy underlying ClassyFire’s chemical classification scheme. With the combination of the taxonomic structure and the Chemical Classification Dictionary, ChemOnt can be formally viewed as an ontology (albeit purely a structural ontology).

The chemical taxonomy. The taxonomy is illustrated with the OBO-Edit software, showing definitions synonyms, references, and extended information

Djoumbou Feunang Y., Eisner R., Knox C., Chepelev L., Hastings J., Owen G., Fahy E., Steinbeck C., Subramanian S., Bolton E., Greiner R, & Wishart D.S. (2016). ClassyFire: automated chemical classification with a comprehensive, computable taxonomy. Journal of Cheminformatics, 8, 61.
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Publication 2016
Acids Alkaloids Amines Anxiety Disorders Attention Chemical Actions derivatives GABA Antagonists Generic Drugs Imidazolines Imino Acids Inorganic Chemicals Nucleosides Pyrimidines Skeleton Steroids Yohimbine
3
Socioeconomic Status, Race, and Diurnal Cortisol
Cited 51 times

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Publication 2010
1-palmitoyl-2-oleoylphosphatidylethanolamine Atherosclerosis Biological Assay BLOOD Cardiovascular Diseases Disease Progression Emotions Epistropheus Ethnicity Family Member Fingers Gender Gossypium Head Health Planning Heart Hispanics Hormones Hostility Households Hydrocortisone Hypersensitivity Index, Body Mass Luminescent Measurements Lung Medical Devices Metabolic Equivalent Obesity Parent Saliva Sjogren's Syndrome Specimen Collection Steroids Trapezoid Bones Viscosity Woman
4
Chronic Rhinosinusitis Observational Cohort
Cited 44 times
Before enrollment, written informed consent was obtained for all participants. The institutional review board at each of the 4 sites monitored and approved all investigational protocols. The institutional review board at Oregon Health & Science University provided comprehensive oversight and review for the entire study as the coordinating center. Adult patients (age ≥18 years) with CRS were enrolled into an ongoing prospective, observational cohort investigation utilizing 4 academic, tertiary, rhinology practices (Oregon Health & Science University, Portland; Medical University of South Carolina, Charleston; Stanford University, Palo Alto, California; and University of Calgary, Calgary, Alberta, Canada). Preliminary findings from this cohort study have been previously reported.7 (link)–9 (link) Inclusion criteria consisted of a current diagnosis of symptomatic refractory CRS as defined by the 2007 Adult Sinusitis Guidelines;10 (link) prior treatment with oral, broad-spectrum, or culture-directed antibiotics (≥2 weeks); and either topical nasal corticosteroid sprays (≥3 weeks) or a 5-day trial of systemic steroid therapy. Patients deemed surgical candidates that elected ESS were enrolled and required to complete the Sinonasal Outcome Test (SNOT-22) at both baseline and a 6-month follow-up visit. The SNOT-22 is a 22-item, validated, treatment outcome measure applicable to chronic sinonasal conditions (score range, 0–110).11 (link) Lower total scores on the SNOT-22 suggest better QOL and symptom severity.
DeConde A.S., Bodner T.E., Mace J.C, & Smith T.L. (2014). Response shift in quality of life after endoscopic sinus surgery for chronic rhinosinusitis. JAMA otolaryngology-- head & neck surgery, 140(8), 712-719.
Publication 2014
Administration, Oral Adrenal Cortex Hormones Adult Antibiotics Chronic Condition Diagnosis Ethics Committees, Research Nasal Sprays Operative Surgical Procedures Patients Sinusitis Steroids
5
NMDAR Antibody Encephalitis Manifestations
Cited 35 times

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Publication 2013
Acute Disease Adult Antibodies Autonomic Nervous System Disorders Child Cognition Cyclophosphamide Encephalitis Ethics Committees, Research Hypoventilation Immunotherapy Intravenous Immunoglobulins Memory Movement Disorders N-Methyl-D-Aspartate Receptors Neoplasms Patient Representatives Patients Physicians Plasmapheresis Puberty Relapse Rituximab Seizures Speech Steroids Youth

Most recents protocols related to «Steroids»

1
Hormonal Assessment for Fertility and Menopause
Not available on PMC !

Example 20

Fertility—Progesterone is one of the most important hormones for pregnancy with myriad functions from ensuring implantation of the egg into a healthy uterine wall, to ensuring embryo survival and prevention of immune rejection of the developing baby. Many other hormones act in concert with progesterone, like Follicular Stimulating Hormone (FSH) and Luteinizing Hormone (LH) and can be used to assess optimal fertility windows on a monthly basis. And in fact an over dominant production of estrogen can lead to progesterone deficiency and thus difficulty getting or staying pregnant. It is important that women not only monitor FSH and LH to determine optimal fertility for getting pregnant, but ensure that sufficient levels or progesterone are being produced to ensure pregnancy and viability of the fetus. A study from the British Medical Journal, 2012, demonstrated that a single progesterone level test can help discriminate between viable and nonviable pregnancies. Among women who had an ultrasound, 73 percent had nonviable pregnancies. But among women with progesterone levels below 3 to 6 nanograms per milliliter, the probability of a nonviable pregnancy rose to more than 99 percent (Gallos L et al. British Medical J, 2012).

Perimenopause—Monitoring hormone levels during the menopausal transition may help women better understand important changes in their body and allow them to make more informed decisions about health, diet, and lifestyle. According to Hale G E (Best Pract Res Clin Obstet Gynaecol, 2009), data from endocrine studies on women throughout the menopausal transition show changes in levels of steroid hormones and gonadotropins (Progesterone, Estrodiol, LH, FSH and AMH) and follicle-stimulating hormone undergoes the first detectable change while menstrual cycles remain regular. Erratic and less predictable changes in steroid hormones follow, especially with the onset of irregular cycles. Later serum hormone studies on the inhibins and anti-Mullerian hormone established that diminishing ovarian follicle number contributes to the endocrine changes with advancing reproductive age.

Many fertility issues revolve around genetic, anatomical or other disorders that may either prevent a woman from becoming pregnant and/or staying pregnant. Some of these disorders include hormonal imbalances, diabetes, a short or insufficient cervix, and acute or chronic infections. A cascade of genes has been implicated in the occurrence of getting and staying pregnant. These genes have been studied using genotyping, gene expression, and proteomic analysis to assess a woman's ability to stay pregnant.

In some embodiments the disclosed device focuses on detecting levels of Progesterone, LH, FSH, Estrodiol, AMH, genotyping, gene expression through RNA and methylome sequencing, qPCR and proteomic analysis for fertility and menopause management from menstrual blood or cervicovaginal fluid.

US11864740B2. Sample collection and preservation devices, systems and methods (2024-01-09). NextGen Jane, Inc. [US]. Inventors: Ridhi Tariyal [US], Stephen K. Gire [US].
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Patent 2024
BLOOD Cervix Uteri Chronic Infection Diabetes Mellitus Diet Embryo Endocrine System Diseases Epigenome Estrogens Fertility Fetal Viability Follicle-stimulating hormone Gene Expression Genes Genes, vif Gonadotropins Hormones Human Body Human Follicle Stimulating Hormone Infant Inhibin Luteinizing hormone Medical Devices Menopause Menstrual Cycle Menstruation Mullerian-Inhibiting Hormone Ovarian Follicle Ovum Implantation Perimenopause Pregnancy Progesterone Reproduction Steroids System, Endocrine Transcription, Genetic Ultrasonography Uterus Woman
2
Prescription Drug Use in Hemophilia

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Publication 2023
Age Groups Analgesics Anti-Anxiety Agents Anti-Inflammatory Agents, Non-Steroidal Antidepressive Agents Antiepileptic Agents Antipsychotic Agents Anxiety Drug Abuser inhibitors Joints Opioids Pain Pharmaceutical Preparations Prescription Drugs Steroids
3
Hemophilia Treatment Patterns and Complications

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Publication 2023
Anti-Inflammatory Agents, Non-Steroidal Antidepressive Agents Antiepileptic Agents Antipsychotic Agents Anxiety Arthropathy Childbirth Diagnosis Hemophilia A inhibitors Joints Operative Surgical Procedures Opioids Pain Patients Pharmaceutical Preparations Prescription Drugs Steroids
4
Endometrial Tissue in Recurrent Pregnancy Loss
The use of endometrial tissue in the research received clearance from the ethics committee of Renmin Hospital, Wuhan University. A total of 16 women diagnosed with uRPL and 12 normal fertile women were recruited. The inclusion and exclusion criteria refer to previously published literature (Comba et al., 2015 (link); Benner et al., 2022 (link)). Briefly, uRPL was defined as two or more fetal losses before 24 weeks of gestation without known causes of miscarriages. The control group was made up of normal fertile women with regular periods who had had at least one live birth and no spontaneous miscarriages in the past. The exclusion criteria were the use of immunosuppressive drugs, steroid hormones, antibiotics, diabetes mellitus and smoking. Endometrial biopsies were obtained from women who attended the reproductive center of Renmin Hospital of Wuhan University and received a endometrial biopsy on day 21 or day 22 of menstrual cycle which were identified as mid-secretory phase by pathological examination. In order to isolate primary HDSCs, first-trimester decidual specimens (between the 7th and 12th weeks of gestation) were collected from healthy women who were having an elective abortion as part of the CARE Program at the BC Women’s Hospital and Health Centre. The research was authorized by the University of British Columbia’s Research Ethics Board. All participants in this study were between 20 and 40 years of age and provided written informed consent.
Luo J., Wang Y., Chang H.M., Zhu H., Yang J, & Leung P.C. (2023). ID3 mediates BMP2-induced downregulation of ICAM1 expression in human endometiral stromal cells and decidual cells. Frontiers in Cell and Developmental Biology, 11, 1090593.
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Publication 2023
Antibiotics, Antitubercular Biopsy Care, Prenatal Decidua Diabetes Mellitus Endometrium Ethics Committees, Clinical Fertility Hormones Immunosuppressive Agents Incomplete Abortions Luteal Phase Menstrual Cycle Miscarriage Pharmaceutical Preparations Pregnancy Reproduction Steroids Tissues Woman
5
Comprehensive COVID-19 Treatment Evaluation
For the identified cohort, we have considered demographics, body mass index (BMI), comorbidities [15 (link)], treatment with pressors, the quarter of COVID-19 diagnosis, patient severity at the time of diagnosis, and prescribed treatments as input features for model development.
To measure patient severity, we used an Ordinal Scale (OS) developed for use with EHR data [16 (link)]. Specifically, this was a 6-point ordinal scale assigned with odd integers from 1 to 11, devised explicitly for patients diagnosed with COVID-19 based on discrete EHR data elements. In this context, a level of 1 represents an outpatient or patient discharged from the hospital, level 3 indicates hospitalization, while being hospitalized on Oxygen or Mechanical Ventilator is an indicator of levels 5 and 7, respectively, with level 9 representing patients hospitalized on ECMO and level 11 representing death.
Fig 2 shows the lookback period used for determining the patient’s comorbidities in green with a minimum of 2 years, while highlighted in blue are the considered treatments’ duration within up to 28 days after the diagnosis, followed by the recorded patient’s outcome as of the last day of treatment.
Prescribed therapeutics on each day after the diagnosis were categorized and considered in eight distinct groups, defined as anticoagulants (Coag), steroid preparations (Ster), unproven antiviral therapies (ViralUnp), targeted antivirals (ViralTrgt), spike protein monoclonal antibodies (MonoSP), monoclonal antibody Immunomodulators (MonoI), macrolide and quinolone antibiotics (BiotMQ), and a miscellaneous treatments (Misc) category that included other treatments presumed to be administered for treatment of COVID-19. Medications in each category are shown in Table 1.
The model considered the proportion of days on treatment combinations, any direct correlations between the treatment values and duration of treatment are removed, preventing the ML algorithm from leveraging this information directly for prediction. By using the proportion of days on treatment combinations, the modeling algorithm is forced to find the effect of different treatment distributions rather than attributing days on treatments to the outcome of interest.
Moradi H., Bunnell H.T., Price B.S., Khodaverdi M., Vest M.T., Porterfield J.Z., Anzalone A.J., Santangelo S.L., Kimble W., Harper J., Hillegass W.B, & Hodder S.L. (2023). Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. PLOS ONE, 18(3), e0282587.
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Publication 2023
Antibiotics, Antitubercular Anticoagulants Antiviral Agents COVID 19 Diagnosis Extracorporeal Membrane Oxygenation Green S Hospitalization Immunologic Adjuvants Index, Body Mass Macrolides Mechanical Ventilator Monoclonal Antibodies M protein, multiple myeloma Outpatients Oxygen Patients Pharmaceutical Preparations Quinolones Steroids Tests, Blood Coagulation

Top products related to «Steroids»

1
Sas version 9 by SAS Institute
Sourced in United States, Austria, Japan, Cameroon, Germany, United Kingdom, Canada, Belgium, Israel, Denmark, Australia, New Caledonia, France, Argentina, Sweden, Ireland, India
SAS version 9.4 is a statistical software package. It provides tools for data management, analysis, and reporting. The software is designed to help users extract insights from data and make informed decisions.
2
Sas 9 by SAS Institute
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
3
Fetal bovine serum (fbs) by Thermo Fisher Scientific
Sourced in United States, China, United Kingdom, Germany, Australia, Japan, Canada, Italy, France, Switzerland, New Zealand, Brazil, Belgium, India, Spain, Israel, Austria, Poland, Ireland, Sweden, Macao, Netherlands, Denmark, Cameroon, Singapore, Portugal, Argentina, Holy See (Vatican City State), Morocco, Uruguay, Mexico, Thailand, Sao Tome and Principe, Hungary, Panama, Hong Kong, Norway, United Arab Emirates, Czechia, Russian Federation, Chile, Moldova, Republic of, Gabon, Palestine, State of, Saudi Arabia, Senegal
Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
4
Lncap by American Type Culture Collection
Sourced in United States, United Kingdom, Italy, Germany, France, China, Canada, Denmark, Switzerland, Spain, Australia
The LNCaP cell line is a human prostate adenocarcinoma cell line. It is a well-characterized in vitro model system for the study of prostate cancer.
5
Penicillin streptomycin by Thermo Fisher Scientific
Sourced in United States, Germany, United Kingdom, China, Canada, France, Japan, Australia, Switzerland, Israel, Italy, Belgium, Austria, Spain, Gabon, Ireland, New Zealand, Sweden, Netherlands, Denmark, Brazil, Macao, India, Singapore, Poland, Argentina, Cameroon, Uruguay, Morocco, Panama, Colombia, Holy See (Vatican City State), Hungary, Norway, Portugal, Mexico, Thailand, Palestine, State of, Finland, Moldova, Republic of, Jamaica, Czechia
Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.
6
Progesterone by Merck Group
Sourced in United States, Germany, United Kingdom, Canada, France, Sao Tome and Principe, Macao, Japan, Italy, Brazil, China, Netherlands
Progesterone is a steroid hormone that plays a crucial role in the female reproductive system. It is a key component in the regulation of the menstrual cycle and supports the maintenance of pregnancy. Progesterone is commonly used in various lab equipment and scientific research applications.
7
Testosterone by Merck Group
Sourced in United States, Germany, United Kingdom, Sao Tome and Principe, Czechia, China, Australia, Italy, Switzerland, Macao, France, Israel, Japan
Testosterone is a laboratory equipment product that measures the concentration of the hormone testosterone in biological samples. It is used in research and clinical settings to assess testosterone levels for various purposes, such as evaluating hormonal imbalances or monitoring treatment effects.
8
Simulect by Novartis
Sourced in Switzerland, United States, Canada
Simulect is a laboratory equipment product manufactured by Novartis. It is designed for use in scientific research and clinical applications.
9
Dexamethasone (dex) by Merck Group
Sourced in United States, Germany, United Kingdom, China, Japan, Italy, Sao Tome and Principe, Macao, France, Australia, Switzerland, Canada, Denmark, Spain, Israel, Belgium, Ireland, Morocco, Brazil, Netherlands, Sweden, New Zealand, Austria, Czechia, Senegal, Poland, India, Portugal
Dexamethasone is a synthetic glucocorticoid medication used in a variety of medical applications. It is primarily used as an anti-inflammatory and immunosuppressant agent.

More about "Steroids"

Steroids are a diverse class of organic compounds that include hormones, vitamins, and other vital biological molecules.
They share a common sterane or steroid nucleus, a fused four-ring system with various functional groups attached.
These compounds play crucial roles in the human body, regulating essential physiological processes such as metabolism, immune function, and stress response.
Steroid research is crucial for understanding their therapeutic applications and potential side effects.
However, ensuring accuracy and reproducibility in steroid studies can be challenging.
PubCompare.ai's AI-powered tools can help locate the best protocols from literature, preprints, and patents, optimizing steroid research and enhancing its reliability.
Researchers working with steroids may encounter terms like SAS version 9.4, SAS 9.4, FBS (fetal bovine serum), LNCaP (a prostate cancer cell line), Penicillin/streptomycin (a common antibiotic combination), Progesterone (a steroid hormone), Testosterone (another important steroid hormone), Simulect (an immunosuppressant drug), and Dexamethasone (a synthetic steroid).
Understanding the context and relationships between these terms can be valuable in effectively conducting and interpreting steroid-related studies.
PubCompare.ai's cutting-edge tools can help streamline the research process, improve accuracy, and enhance the overall reliability of steroid-related investigations.
By leveraging advanced AI-driven comparisons, researchers can access the best protocols from a vast array of sources, including literature, preprints, and patents, ultimately optimizing their steroid research and advancing our understanding of these crucial biological compounds.