Genetic analysis companies from Roberto Grobman today: Our Story: FullDNA has identified the need for creating a tool for healthcare professionals to access useful valuable genetic data from the big data pool of 21 million publications and growing daily roughly 2.5 million new publications every year. Our Technology experts built a unique AI system that knows to compare results of genetic tests, such as sequencing and genotyping and translate them to useful & focused data for doctors into a variety of 25 different panels The gained knowledge of population characteristics, such as diseases probabilities, physical features, nutrition predisposition, Interacted with AI technology can extract comprehensive details on trends, such as longevity status of populations, medications that better work to individuals or groups, nutrition consuming habits, best sports for each individual, psychological features, etc. This technology can help countries plan the future of their investments in preventive medication for their population. See additional details at https://soundcloud.com/prof-roberto-grobman.
DNA can tell you everything from your ancestry to pharmacogenomics (‘smart medicine’). For example, we can use DNA testing to help you understand how you metabolise medication: are you a slow or fast metaboliser? Are there certain drugs that might cause an adverse reaction? Pharmacogenetic information could be critically important for someone with a recent diagnosis of a condition such as coronary vascular disease. If you suffer from it, you might have to endure the merry-go-round of trying different drugs to identify the right ones for you. This means delays in receiving the right kind of medication, which can impact costs as well as your recovery.
Genomic variants report companies from Roberto Grobman right now: Risks and limitations: Tests may not be available for the health conditions or traits that interest you. This type of testing cannot tell definitively whether you will or will not get a particular disease. Results often need to be confirmed with genetic tests administered by a healthcare professional. The tests look only at a subset of variants within genes, so disease-causing variants can be missed. Unexpected information that you receive about your health, family relationships, or ancestry may be stressful or upsetting.
Consider the example of familial hypercholesterolemia (FH), a condition in which multiple variants of several different genes lead to markedly high cholesterol. This greatly increases the risk of heart attack, stroke, and other health problems. FH affects about one in 300 adults, which means it isn’t rare. Among adults who have the most common genetic variants that cause it, heart attack or sudden cardiac death may occur in middle age. Children who have a double dose of a gene variant linked to this condition may die of cardiovascular disease before age 20. Earlier treatments intended to reduce the risk of complications, such as cholesterol-lowering drugs, are available if a child or adult is known to have a mutation linked to FH.
Only once we know it’s been peer reviewed and once we know that an individual can impact their health with easily modifiable environmental changes are we able to say ‘yes, we can bring this to people and help them make use of their DNA to improve their health’. Diagnosis and screening: There are different types of test available. For example, some can diagnose predispositions to certain diseases and/or conditions, for example looking for the BRCA gene — the breast cancer gene. This type of screening can be useful to doctors who might be having a hard time identifying a given disease – especially rare ones.
FullDNA Reports cover specific segments. To reach longevity, FullDNA’s Accurate Prediction Analysis is the most premium tool in the predictive genetics market for health professionals. Knowing in advance the susceptibilities for diseases and health conditions is different than analyzing mutations to find genetics diagnostics. We strongly believe reaching the future in a healthier way. Effective preventive measures can only be adopted when an accurate prediction methodology brings valuable ready to use data. Find even more details at Roberto Grobman.