Post by account_disabled on Mar 6, 2024 6:30:38 GMT
Various Mobile Applications Through Which We Can Control Our Blood Pressure at Any Time, and Through Several Biosensors Located Under the Skin We Can Know Our Cholesterol and Sugar Concentrations in Real Time, So if the Levels Increase We Will Immediately Send an Alert and Pass It on to Our Family Doctor. Could All of These Innovations We've Described Become a Reality in Less Than a Decade? How Heavy is Genetics? In the Future Scenario We Described Earlier, Would It Be Possible to Carry Our Genome on? Know the Sequence of Letters That Make Up Our and Carry It as Information on Our Mobile Devices? A Few Days Ago We Attended a Talk by a Bioinformatician From the Center for Genome Regulation (Centre De Genome Regulation) in Barcelona, Catalonia, Where He Explained Some of These Issues to Us. For Example, He Told Me in His Speech.
We, if We Could Store All the Data on Citizens' Heights, Such a Large Amount of Information Would Take Up About , Which Could Be Stored on a , Which Would Weigh About Grams. However, if We Were Trying to Preserve the Genetic Information for Genes Related to Height, the Data Set Would Need to Be Stored in Approximately Chinese Europe Phone Number List Kilograms, Which Would Weigh Approximately Kilograms. This Cruel Disparity Allows Us to Understand Why Genetics is Not "or" and Why the Storage of Medical Information, the Use of New Mobile Devices and the Management of Big Data Can Be of Great Help in Diagnosing and Treating Diseases. Because if There's One Thing That Characterizes Research, It's Three Words: "Data, Data and Data." as.
We Mentioned Earlier That in the 1990s but Repeat the Need to Accumulate More and More Information. To Some Extent, Biomedical Research and Clinical Practice Applications Require the Accumulation of Data With the Aim of Being Able to Model Pathological Conditions or Hypothesized Treatments. This Was Also Explained in His Talk, When He Recounted a Study by Another Scientist Who Studied Addictive Behavior in Rats. To Do This, They Documented the Rodents' Daily Lives and Their Addiction to Chocolate, Which Can Be Compared to Human Addiction to Drugs Such as Heroin. If We Could Analyze How Quickly These Animals Become Addicted, We Could Prevent This From Happening. Data Generation in Biology Can Follow So-called Hidden Markov Models or .