The Power of Truth^® has been released for sale and assignment to a conservative pro-American news outlet, cable network, or other media outlet that wants to define and brand its operation as the bearer of the truth, and set itself above the competition.

In every news story the audience hears of censorship, speech, and the truth. The Power of Truth^® has significant value to define an outlet, and expand its audience. A growing media outlet may decide to rebrand their operation The Power of Truth^®. An established outlet may choose to make it the slogan distinguishing their operation from the competition. You want people to think of your outlet when they hear it, and think of the slogan when they see your company name. It is the thing which answers the consumer's questions: Why should I choose you? Why should I listen to you? Think:

What’s in your wallet -- Capital One
The most trusted name in news – CNN
Fair and balanced - Fox News
Where’s the beef -- Wendy’s
You’re in good hands -- Allstate
The ultimate driving machine -- BMW

The Power of Truth^® is registered at the federal trademark level in all applicable trademark classes, and the sale and assignment includes the applicable domain names. The buyer will have both the trademark and the domains so that it will control its business landscape without downrange interference.

Contact: Truth@ThePowerOfTruth.com

Sidebar

Magazine menu

The Power of Truth^®

Sunday, November 17, 2024

AI advancements make the leap into 3D pathology possible

Health

Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.

Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.

HUNGRY FOR TRUTH? FEED THE NEED.