Ms. frog

just trying to work!

[Colours of The world @ColoursOfWorld1]

Never judge someone`s intelligence until they finish what they do.

[This Account Makes You Happy @FeelYouHappy]

Marriage, summed up perfectly. 🤣

[Ms. frog @myyrvip]

@gunsnrosesgirl3 Cake

[Ms. frog @myyrvip]

https://t.co/z6woJSB2QY

[Fundação "la Caixa" @FundlaCaixaPT]

Do you have a health innovation project that could have a big impact on society?

🚀 You can receive up to 700,000 euros to boost your idea, as well as guidance from mentors and training.

[Massimo @Rainmaker1973]

The Lauterbrunnen Valley in Switzerland is famous for being an entrance to the Jungfrau and for having 72 magnificent waterfalls, which inspired J.R.R. Tolkien's Elven valley of Rivendell

[📹 Tom Durrer]

[Massimo @Rainmaker1973]

Happy bite

[Nature is Amazing ☘️ @AMAZlNGNATURE]

RT if you've never seen a Black-tufted Marmoset before..

[History Defined @historydefined]

Rio de Janeiro's Botanical Garden was created by King John VI of Portugal in 1808. Today, it's home to 6,500 species of plants distributed throughout an area of 130 acres. Read more: https://t.co/p9llWMYZOf

[Portugal Film Commission @FilmPortugal]

AVISO:
A primeira fase de candidaturas de 2023 ao benefício de incentivo à produção cinematográfica e audiovisual abre a 5 de abril de 2023, a partir das 14:00 horas (hora de Portugal Continental).

[Informa Cosmos @InformaCosmos]

La inteligencia artificial detecta el cáncer de mama 5 años antes de que se desarrolle 😮

Utilizando inteligencia artificial (IA), investigadores del MIT y del Hospital General de Massachusetts desarrollaron un modelo para predecir el cáncer de mama hasta cinco años antes de que se manifieste.

Los investigadores probaron la tecnología con datos de 2009 a 2012 provenientes de 90,000 mamografías de más de 6,000 pacientes del Hospital General de Massachusetts.

El sistema de inteligencia artificial pudo detectar patrones sutiles que no podían ser identificados por humanos en los tejidos mamarios, logrando prever las posibilidades del desarrollo del cáncer.

Este avance permitirá personalizar tratamientos y seguimientos, adaptándose a las necesidades y riesgos específicos de cada paciente.

Además, el modelo es efectivo en mujeres blancas y negras, abordando disparidades raciales en la detección del cáncer.

La inteligencia artificial predijo el 31% de los casos de pacientes de alto riesgo, lo que representa una mejora significativa en la prevención de la enfermedad, ya que las técnicas tradicionales anteriores solo podían predecir el 18% de estos casos.

Los investigadores esperan aplicar este enfoque a otras enfermedades, revolucionando el diagnóstico temprano y la atención médica.

DOI: 10.1148/radiol.211105

[Ms. frog @myyrvip]

Bora lá roubar mais guita ao pessoal. Subindo 3 euros de salário, algumas pessoas vão pagar mais 19 euros de IRS. 😁😁
https://t.co/MNUj4OIxvV

[Ms. frog @myyrvip]

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[Ms. frog @myyrvip]

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[Ducon.space @duconspace]

Order here: https://t.co/AqBGVayoUq
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[Ms. frog @myyrvip]

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[Ms. frog @myyrvip]

I'm excited about the first opportunity to buy $NEON! 15 February 5pm UTC - save the date! Don't miss out! https://t.co/8QUlJwJwha #NeonLink #crypto #airdrop #NeonLinkTakeover #web3 #web3gaming

[Ms. frog @myyrvip]

I've just registered for the $NEON pre-sale on 15 February and $100k giveaway, have you?

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[Ms. frog @myyrvip]

3 people followed me // automatically checked by https://t.co/ySnzT1DNTt

[Ms. frog @myyrvip]

one person followed me // automatically checked by https://t.co/ySnzT1DNTt