
BrushO Leaderboard Challenge
BrushO is excited to introduce the “Brushing Leaderboard Challenge,” a thrilling event with a total prize pool of 200,000 USDT! This competition rewards users for their brushing activity, turning daily oral care into an exciting challenge with real incentives.
Each round of rewards will be dynamically adjusted based on the number of brushing users until the reward pool is depleted.
The first round begins this week with a prize pool of 500 USDT, distributed as follows:
🏆 1st place: 200 USDT
🥈 2nd place: 100 USDT
🥉 3rd place: 50 USDT
🏅 4th-7th place: 30 USDT each
🎖 8th-10th place: 10 USDT each

Joining the competition is simple and fun! Follow these steps to start earning:
Each week, participants will be ranked in real-time on the BrushO leaderboard. The top 10 users with the highest brushing activity will earn USDT rewards from the 200,000 USDT prize pool.
The BrushO Leaderboard Competition is held weekly, so there are fresh opportunities to top the leaderboard and win every week!
As far as BrushO goes, brushing isn’t about oral care; it is more about innovation, rewards, and community engagement. Here’s your opportunity to embrace the future of oral health, earn rewards, and join the Web3 and AI-powered oral care revolution through the BrushO Leaderboard Challenge.
Mar 25
Mar 20

An in-depth exploration of the three principal hardness testing methodologies used in dental enamel research—Vickers, Knoop, and nanoindentation—and what they reveal about remineralization, erosion, and the anisotropic mechanical properties of the body's hardest tissue.

A deep dive into silver diamine fluoride—its mechanism of action combining silver's antimicrobial properties with fluoride's remineralization, FDA approval history, clinical efficacy data for arresting cavitated lesions, and practical considerations including the characteristic dark staining.

Reviews the emerging field of oral probiotics—examining specific strains (S. salivarius K12/M18, L. reuteri) and their mechanisms including competitive exclusion, bacteriocin production, and immune modulation. Evaluates clinical evidence for halitosis reduction, caries prevention, and periodontal health.

Explores oral lichen planus—a T-cell mediated chronic inflammatory condition affecting 1-2% of the population. Covers subtypes, diagnostic hallmarks, malignant transformation risk, and management from topical corticosteroids to systemic immunosuppressants.

Explores the dental implications of intermittent fasting—how prolonged fasting windows alter salivary flow, pH buffering capacity, and the oral microbiome, potentially increasing or decreasing cavity risk depending on hydration and meal composition.

A technical deep dive into the hardware powering AI toothbrushes—how 6-axis inertial measurement units achieve real-time orientation tracking, zone classification, and brushing motion analysis through sensor fusion algorithms with sub-second latency.

Examines Hunter-Schreger bands—alternating zones of decussating enamel prisms visible under polarized light. Explains how this crack-deflection architecture dramatically increases enamel fracture toughness, and its clinical relevance for understanding enamel's remarkable durability.

Explains the biological mechanisms behind age-related tooth darkening—how progressive deposition of peritubular dentin within dentinal tubules creates sclerotic dentin, altering light transmission. Covers differentiation from pathological sclerosis and implications for whitening treatment expectations.

Investigates dental pulp stones—their prevalence (up to 50% in some populations), classification, hypothesized etiologies, and clinical significance for endodontic access and treatment planning.

Modern AI toothbrushes perform complex computations — zone classification, pressure detection, stroke recognition — entirely on-device using edge computing architectures, eliminating the latency, privacy, and connectivity constraints of cloud-dependent processing. This article dissects the hardware, neural network architectures, and real-time inference pipeline that enable a toothbrush to understand brushing behavior.