One of the problems of political bias facing the world today is cost-effective health insurance and the need for medical care. Each ideology has various delivery methods that combine their own benefits and adverse effects, respectively. The way to display these systems comes from a top view, a bottom view, or a combination of both. These main types are often called socialization and privatization medical care. Advantages and adverse effects of public health and social medicine are often inversely proportional to privatized medicine.
Because medicine is better than ever, we have to admit that every aspect of medicine has improved over the last 10, 30 and 100 years. But this does not mean that it will not get better. Currently, "healing practice" did a good job of improving medicine; when AI is used it would be much better. AI will reduce physician diagnosis and surgical mistakes, better drug discovery and individualized prescriptions. Nursing is based on thousands of biomarkers, genes, transcriptome, proteome and is also called "all-omics medicine". We can measure more variables (thousands or even millions or more per sample) and make decisions based on the complexity that human doctors can not master. It is even possible to identify drug dosage for the current state of each patient and to monitor disease progression and molecular side effects.
what is that? Individualized medicine (aka "precision medicine") means that when collecting more patient data (see "Patient Empowerment") better treatment can be designed for a particular patient. Most of the startup here focuses on personal diagnosis and genome-based treatment. I think these are more medical oriented towards Patient Empowerment's startup. What problems did they solve? : Treatment of today is designed according to population level. We conduct drug clinical trials for hundreds or thousands of participants. Treatment guidelines are usually created by reasoning at the population level, and these reasoning seems to apply to various diseases. The availability of new patient data and the ease of new genomics testing allow for a new world of individualized medical research where treatment targets the patient's medical background, treatment history or genetic makeup .