And then everyone stood up and clapped

Terms of the settlement were not disclosed. The two parties agreed to the dismissal of the lawsuit and will cover their own costs and fees, according to a court filing dated Monday.

We wear them in the pharmacy as well. No risk of getting them dirty with blood or anything, they’re just clothes.

Burgers can often have onions

My mistake. Misread the comment while at work

I love my 3 monitor setup 🥲

Is this in regards to a specific recent event or article? Or just purely hypothetical?

In practice, an AI that’s trained on drug-drug interactions, duplicate therapies, and common dosings would be beneficial. We already have specialized models that are helping scientists discover groundbreaking technologies, such as recent advancements in discovering cancers years before we are used to with more traditional methods.

Let’s look at your hypothetical. Prescriber sends in an order to their in-house pharmacy for amoxicillin and the patient has a recorded penicillin allergy. Under ideal circumstances, the pharmacist would review the patients chart, note the potential for a reaction (While they are different antibiotics, there is still potential for a reaction due to the drugs being related), and contact the prescriber to verify therapy and discuss if a change to another antibiotic is in order. (This is all ignoring the fact that for an ear infection you’d likely get an otic ear drop, not an oral suspension. Something like Neo-Poly-Dex or ofloxacin).

Unfortunately the pharmacy hellscape we’re in today leads to rushed verifications, where therapies aren’t being checked too closely and many things get missed. Pharmacies already have systems in place to warn techs and pharmacists of any interactions with recorded allergies, but if you’re traveling or need to go to a new pharmacy or doctor, things get missed.

An AI that is trained on these specific things would help alleviate some of the pressure of the already overworked pharmacy staff, while giving consise and consistent information. If a pharmacist misses an allergy or interaction, the AI could send a warning to them and the prescriber.

Note that I’m referring to job specific AI, that are trained for specific purposes. A general LLM, which it sounds like you’re referring to, would not be able to work in these environments.

Source: I audit pharmacy claims, with training in retail, LTC, and PBM pharmacy settings. It’s literally my job to catch the errors (both billing and clinical) that pharmacies make.

IT can have scripts and flowcharts they are required to follow, even if it is redundant to tech savvy people.

I think they were just adding to the conversation

Nah, they actually filled them with collectible cardboard bottle caps. This is POG Racing

Have you ever loved?

Article title seems AI generated. Makes it sound like the whole of Alaska Airlines was barred.

Due to this, Alaska Airlines opted to limit the aircraft from extended flights over water to ensure that the plane “could return very quickly to an airport” if the warning light reappeared, according to Jennifer Homendy, National Transportation Safety Board (NTSB) chair.

Looks like Alaska knew about the previous warnings and voluntarily pulled it from international flights.

From the article, looks like Bard is now using Gemini as its backend, no opt-in needed.

Starting today, Bard will use a fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more.