Statistics and graphics
We employ multivariate biostatistics merging several different methods of modeling. Our custom operating programs integrate artificial neural networks, Bayesian networks, weather prediction analysis, social media network analysis, as well as vector and principal component analysis. This allow us to extract biosignatures, patient profiles, network patterns and risk factors associated with clinical outcomes. With these techniques, we are able to show data in ways that have never been done before and has increased our capacity for understanding biological systems. Our consultants work with large scale omics, clinical and epidemiological databanks.
What can we offer your clinical studies
Integrated networks of clinical and laboratory studies, known as global consortia, are establishing a new standard for investigating human diseases. the necessary infrastructure to perform validation on a multinational scale. In this setting, results obtained in clinical investigations in a specific region can be quickly tested for validation in several other sites. This increases the inferential power and impact of the findings on medical practice. These networks have accelerated the production of medical knowledge and increased organizational complexity. With our experience, we can provide your team with access to these networks, training, and resources to conduct powerful studies within them. Within a consortium, your group can overcome the biggest challenges to changing clinical practice and knowledge including: testing new drugs, finding more reliable predictors and biomarkers of disease, candidate molecules for vaccination, and improving diagnosis.
Our initiative helps to establish a network, implement standardized clinical protocols and SOPs, and arrange systematic collection of clinical, epidemiological, socio-economic, and immunological information. Now, using GPS based technology, we can track the potential location of disease transmission for a number of vector and airborne diseases. We also assist in the setup, organization, and maintenance of data. Our experts can train individuals and customize data collection for your needs including clinical report forms (CRFs), and the merging of clinical, laboratory, radiological, pathological and microbiological data into an easily accessible bank.
High quality biobanking
Our group implements the highest standards for processing, storing, and shipping of biological specimens following the best practices for biospecimen resources. Our consultants can help you achieve the highest degree of accreditation on the national and international level. Our expertise is in practices including standardized protocols for collection, processing, inventory, storage and maintenance of samples. Additionally, we design contingency plans following institutional and national guidelines.
We can bring our experience to you in order to design a biorepository from the earliest stages including architectural design, proposals, and institutional review all the way to achieving national and international accreditation to preparing for benchmark reviews.
We offer English and Portuguese language editing to ensure that your manuscript or grant is ready for submission. Our editors work carefully to ensure that your ideas are expressed both clearly and concisely. From abstracts to thesis- no work is too short or too long to be polished into publication quality.
Courses we offer
MONSTER Initiative offers several courses to increase the level of science of your institution, which include:
- Establishing clinical sites to perform medical research.
- Establishing centers for biospecimen processing and storage.
- Biostatistics in medical sciences.
- Innovative data presentation.
- Software specific courses: Excel, SPSS, GraphPad Prism, JMP, SAS, STATA, R, Gephi.
- Grant writing.
- Manuscript writing.
- Implementation and design of medical courses (MD).
- Implementation and design of graduation courses in Medicine and Biotechnology (PhD).
- How to present data.
Courses can be given in English and in Portuguese.