Momenti felici

Momenti felici

Momenti felici

Momenti felici

Momenti felici

Il guscio dell’#uovo di #struzzo è così duro che può tranquillamente reggere il #peso di un uomo adulto senza rompersi se questi dovesse salirci sopra. Probabilmente, se provassi a sbatterlo contro l'angolo della #cucina per romperlo, finirei per rompere la cucina.😂
#curiosiclubbez #virale #natura #vita #animali #clubbez

Exploring AI-based Digital Pathology


Digital pathology is a transformative technology that has enabled pathologists to make the shift from visual inspection of tissue samples to automated image analysis.

With the advent of AI, pathologists are now benefiting from computerized image analysis software that can draw conclusions and deliver diagnoses in a fraction of the time. Now, pathologists can analyze the RNA / DNA or protein expression of a sample, which is far more accurate than visual analysis. AI-based digital pathology is being used to analyze images and extract meaningful information from them, to automate tedious tasks, and to create new ways of diagnosing and treating diseases. AI-based digital pathology can be used by pathologists to extract features from images and classify them into appropriate categories for diagnosis.

Benefits of AI in Digital Pathology
AI is revolutionizing digital pathology by improving accuracy, consistency, and operational efficiency. AI is improving accuracy by enabling pathologists to derive more insights from images and improving the consistency of results by reducing bias. AI-driven analysis is repeatable and consistent, leading to more accurate diagnoses. AI is also improving operational efficiency by automating and optimizing workflows. Pathologists can now rely on AI to manage their workflows, reducing the time spent on tedious tasks.

AI-Based Automation of Pathology Workflows
AI is transforming pathology workflows by automating processes and optimizing collaboration among team members. Pathologists can now leverage AI to manage their workflows, helping to optimize workflow operations. AI can be used to automate processes like image acquisition, data management, and report formatting, as well as recordkeeping tasks. With AI, pathologists can collaborate more effectively with other team members by sending them notifications on issues, such as abnormal test results or abnormal exam findings. AI can be used to facilitate collaboration between pathologists and other health care professionals, such as researchers and clinicians. Pathologists can send images and findings to researchers for further analysis.

AI-Driven Automated Diagnosis & Treatment
New AI technology is allowing pathologists to make diagnoses and prescribe treatments using a machine-generated narrative. AI is being used to analyze images and extract meaningful information from them, enabling pathologists to make more accurate decisions about diagnoses. AI can be used to analyze tissue samples as well as blood and urine samples to derive a more accurate diagnosis. New AI technology is allowing pathologists to make diagnoses and prescribe treatments using a machine-generated narrative. AI can be used to analyze images and extract meaningful information from them, enabling pathologists to make more accurate decisions about diagnoses. AI can be used to analyze tissue samples as well as blood and urine samples to derive a more accurate diagnosis.

Challenges for AI in Digital Pathology
With the advent of AI, digital pathology is being transformed from visual inspection to molecular analysis. However, there are some challenges associated with AI in digital pathology. The first challenge is the cost of implementation. For organizations to benefit from AI-driven solutions, they have to invest in the technology and hire AI experts to put the technology to use. The second challenge is the lack of understanding of AI by both pathologists and patients
Conclusion
Digital pathology is transforming the traditional pathology workflow by enabling pathologists to make better, more accurate diagnoses through automated image analysis. With the advent of AI, digital pathology is now able to analyze images and extract meaningful information from them, enabling pathologists to make more accurate decisions about diagnoses.

For more information, please click on the following link:
https://www.rootsanalysis.com/....blog/ai-based-digita

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About Roots Analysis
Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights.

Contact:
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+1 (415) 800 3415
Ben.johnson@rootsanalysis.com

#cinema #film #montaggio
Intorno al 1920 il regista russo Lev Kulešov fa un esperimento. Prende l’immagine del primo piano dell’attore Ivan Mozžuchin. L’espressione è neutra, priva di particolari emozioni. Accosta a questa immagine di volta in volta l’immagine di una zuppa, quella del cadavere di una bambina nella bara e quella di una bella ragazza [ma ci sono più versioni sulle immagini utilizzate]. E chiede a tre gruppi di spettatori - uno per immagine - quali emozioni provocano loro le singole sequenze. Ecco i risultati.
Gruppo "Zuppa" > Emozioni relative all’appetito
Gruppo "Bambina morta" > Emozioni relative alla tristezza
Gruppo "Ragazza" > Emozioni relative al desiderio
Ma non solo. Gli spettatori si congratulano con l’attore per il modo intenso e credibile con il quale, secondo le tre immagini, ha espresso emozioni relative all’appetito, alla tristezza e al desiderio.
In questo modo, Kulešov dimostra in modo decisivo, come attraverso l’accostamento di immagini in realtà indipendenti l’una dall’altra, si possa creare nella mente dello spettatore una ben definita produzione di senso.

I #cibi più sprecati del #mondo sono #frutta e #verdura, da soli rappresentano il 42% dello #sprecoalimentare. Seguono i #cereali che sono il 22% dello #spreco di #cibo.
#curiosiclubbez #virale #ambiente #vita #terra #sostenibilità #clubbez

Miglior #anime del secolo! XD