@farma_ictq: No vídeo, o médico mostra de forma descontraída a quantidade de medicamentos guardados pela esposa. A cena pode até arrancar risadas, mas também traz um alerta importante: manter muitos medicamentos em casa exige cuidado, atenção e orientação. Quando há acúmulo, aumentam os riscos de vencimento, uso inadequado, automedicação, duplicidade de tratamentos e confusão entre produtos. O que parece apenas organização ou prevenção pode se tornar um problema quando não existe acompanhamento. Medicamento não é item comum de estoque. Cada produto tem indicação, tempo de uso, riscos, contraindicações e possíveis interações. Por isso, a orientação farmacêutica é essencial para ajudar o paciente a usar medicamentos com mais segurança e consciência. No fim, não importa o tamanho do armário: o mais importante é saber usar, revisar e cuidar do que está ali. E para orientar pacientes com segurança, o farmacêutico precisa estar cada vez mais preparado. Conheça a Pós-Graduação em Farmácia Clínica e Atenção Farmacêutica do ICTQ Instituto de Pós-Graduação Farmacêutica e use o cupom CLINICAOFF para garantir uma condição especial. Clique no link da bio em “Quero ser aluno” e fale agora mesmo com o time de especialistas.

ICTQ Pós Farmacêutica
ICTQ Pós Farmacêutica
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Wednesday 13 May 2026 15:53:11 GMT
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Anthropic says Claude discovered a previously unknown enzyme system sitting in the DNA of bacteriophages. They're calling it ART — array-associated reverse transcriptases. Next to the enzyme's gene is a long array of repeating DNA that looks a lot like CRISPR. The numbers behind it matter more than the biology. Claude pulled over 200,000 reverse transcriptases, narrowed them to 3,500 candidate systems, and analysed the 20 most promising in detail. About 950 agents. 210 million tokens. 21 hours. Humans wrote the starting prompt and did every piece of wet-lab work. Anthropic is explicit about that. The lab is in the Bay Area, opened in spring 2026, and runs at BSL-1 and BSL-2 only. Feng Zhang, the CRISPR pioneer at MIT and the Broad, reviewed the pre-print. Not everyone is sold. Stanford's Stanley Qi praised the pattern recognition. Kevin Blake at Washington University said there's nothing yet to suggest this rivals CRISPR. Nobody knows what the system actually does. Here's the real dynamic. Every frontier lab is racing to show its model does science rather than answers questions. Google has AlphaFold. OpenAI keeps pointing at research use. Anthropic just built a physical lab and put a result on the table. The score is no longer benchmarks. It's discoveries. For anyone building agents, the interesting part is the architecture. This wasn't one brilliant model with one brilliant prompt. It was roughly 950 agents fanned out across a search space too big for a person to read. Cheap, parallel, tolerant of dead ends. That's the pattern worth stealing. Chat rewards the single best answer. Agents reward coverage. When the bottleneck is a haystack, you don't need a smarter needle-finder — you need a thousand of them running at once, and a way to rank what comes back. Twenty-one hours of compute against a database nobody had fully read. The frontier isn't model IQ anymore. It's how wide you can spread it. #AI #biotech #Anthropic #Claude #DNA
Anthropic says Claude discovered a previously unknown enzyme system sitting in the DNA of bacteriophages. They're calling it ART — array-associated reverse transcriptases. Next to the enzyme's gene is a long array of repeating DNA that looks a lot like CRISPR. The numbers behind it matter more than the biology. Claude pulled over 200,000 reverse transcriptases, narrowed them to 3,500 candidate systems, and analysed the 20 most promising in detail. About 950 agents. 210 million tokens. 21 hours. Humans wrote the starting prompt and did every piece of wet-lab work. Anthropic is explicit about that. The lab is in the Bay Area, opened in spring 2026, and runs at BSL-1 and BSL-2 only. Feng Zhang, the CRISPR pioneer at MIT and the Broad, reviewed the pre-print. Not everyone is sold. Stanford's Stanley Qi praised the pattern recognition. Kevin Blake at Washington University said there's nothing yet to suggest this rivals CRISPR. Nobody knows what the system actually does. Here's the real dynamic. Every frontier lab is racing to show its model does science rather than answers questions. Google has AlphaFold. OpenAI keeps pointing at research use. Anthropic just built a physical lab and put a result on the table. The score is no longer benchmarks. It's discoveries. For anyone building agents, the interesting part is the architecture. This wasn't one brilliant model with one brilliant prompt. It was roughly 950 agents fanned out across a search space too big for a person to read. Cheap, parallel, tolerant of dead ends. That's the pattern worth stealing. Chat rewards the single best answer. Agents reward coverage. When the bottleneck is a haystack, you don't need a smarter needle-finder — you need a thousand of them running at once, and a way to rank what comes back. Twenty-one hours of compute against a database nobody had fully read. The frontier isn't model IQ anymore. It's how wide you can spread it. #AI #biotech #Anthropic #Claude #DNA

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