Medical professionals are sharing some changes that have been observed as more data has become available. Officials report as the temperature increases each year and more rain falls there is an increase in foliation, which amplifies seasonal allergies. Traditionally the early tree season, the mid grass season, and the late weed season were more sequential, coming one after another.
Doctor Gallian D. Marshell, chair of allergy and immunology at the University of Mississippi Medical Center, said these three pollination seasons are beginning to run together.
“The longer you are exposed to something that goes on and on, number one: the more likely you are to become sensitized to it and number two is the more problems you’re going to have because your constantly being exposed to it and your body can never quite catch up,” said Marshell.
Marshell said data seems to show that those who were at one point very ill with COVID-19 were substantially more vulnerable to developing pollination allergies.
As artificial intelligence continues to develop there are many officials in the health care field who are excited about the increase in data collection. With more data comes the ability to more easily give specialized care to each patient, based on what they need, where they are in the world, their physical characteristics, and medical conditions.
Doctor Marshell said it will help determine what is worth paying for.
“What AI offers is information that’s going to say, ‘this is the effect this is going to have to have in this particular patient to lower their risk of developing this particular complication’. That’s one of the most exciting things because I can give the right drug to the right patient at the right time,” said Marshell.
Marshell said that AI’s ability to gather data will also give patients clearer pathways in treatment therapy. With pollination ripe in the air and inflaming allergies, he uses eczema as an example of a complication that can be caused by pollination and treated both by allergists and dermatologists. He said AI would be able to help each patient determine which specialist and treatment would benefit them the most.