Daily Archives: May 6, 2023

Leading provider of Transcranial Magnetic Stimulation (TMS Therapy) in the Pacific Northwest reaches a new milestone. During the past five years, NeuroStim has administered over 100,000 TMS treatments through their Washington treatment centers, improving the lives of thousands of patients suffering from challenging mental health disorders.

BELLEVUE, Wash., May 2, 2023 /PRNewswire/ -- NeuroStim TMS is a leading provider of TMS Therapy for treating depression, OCD, anxiety, and similar disorders. Their state-of-the-art facilities offer hope and healing through an alternative, cutting-edge treatment for patients who have not responded to traditional treatments for mental illness. The documented results patients experience through this FDA-approved outpatient treatment have made NeuroStim TMS a highly sought-after treatment provider since they opened their doors to patients five years ago.

NeuroStim Patient Treatment

Co-founded by Chief Executive Officer Walt Guidice and Chief Marketing Officer Brandon Gary, NeuroStim TMS started with a single treatment center in Lakewood, WA in March of 2018. Over the past five years, their success in helping thousands of patients fueled their expansion into eight additional locations, including two outside the Puget Sound area in Spokane and Bellingham, WA. Across all clinics, their ten providers, 30 TMS technicians, and five TMS Specialists have seen thousands of patients, with nearly 40% of all patients having been treated at NeuroStim's treatment clinics within just the past 12 months.

"From our humble beginnings with one clinic and a mission to offer medical providers and their patients an advanced alternative to traditional psychiatric treatment using medications, NeuroStim has grown dramatically," stated Guidice. "In five short years, we have expanded our reach to nine locations, bringing treatment within reach for many more individuals. Best of all, we have watched the vast majority of patients receiving treatments in the care of our TMS expertsexperience dramatic improvement of their symptoms with nearly 50% of our patients reaching full remission."

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One of the most experienced and trusted providers of TMS Therapy in the country, NeuroStim focuses exclusively on this treatment. NeuroStim's medical team is led by medical directors Tasha Morris MD, Nick Weiss MD, and Chief Medical Advisor Jonathan Downar MD, PhD and they currently deliver approximately 1,000 TMS treatments weekly, including both traditional TMS and accelerated TMS (up to 10 patient treatments daily). Their commitment to delivering best-in-class TMS treatment requires that every NeuroStim provider and technician undergo rigorous customized training to ensure each patient receives excellent patient care and has the best opportunity to achieve remission.

"Reaching the 100,000 treatment milestone is an incredible achievement for the whole NeuroStim team," remarked Guidice. "Especially as it comes right on the heels of another huge milestone with our lead researcher and TMS Specialist, Alex Engelbertson, having recently administered his 6000th TMS treatment. This remarkable success is only possible because of every team member's consistent efforts and support. We are thrilled with the contributions our team has made in the field of transcranial magnetic stimulation, and we plan to continue to lead the way using this innovative treatment."

To further expand treatment accessibility, NeuroStim TMS plans to open three new clinics in Spokane Valley, Vancouver, and the Tri-Cities area of Washington this year. To learn more about how the providers at NeuroStim TMS use TMS Therapy to help their patients regain hope and live a fuller life or to schedule a free consultation at a NeuroStim treatment center, call (888) 963-9467 or visit http://www.NeuroStimTMS.com.

Media Contact:Kari ArmourDirector of Communicationskari@neurostimtms.com206-620-1665

NeuroStim Logo (PRNewsfoto/NeuroStim TMS)

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NeuroStim TMS Celebrates Landmark Achievement, Delivering Over 100,000 TMS Treatments Upon Reaching Five Year Anniversary - Yahoo Finance

Modeling treatment response to TMS in a clinical sample

The NLME model demonstrated that the TMS treatment response was well modeled with the exponential decay function, yielding significant estimates for model parameters A, B, and C (all p<0.0001). Each individual contributed 2 to 9 (median=6) longitudinal measurements of depressive symptoms for a total of 562 observations. The exponential model captured a wide range of individual treatment response trajectories, as illustrated in Fig.2. The magnitude of total response (A) was estimated to be a clinically meaningful 5.8-point drop in PHQ-9 scores with a time constant (B) of 1.2weeks or 6 TMS treatments. When compared to a corresponding LME, the exponential decay model displayed lower AIC and BIC values and a significant likelihood ratio (LRT=63.2, p<0.0001), suggesting that the NLME model based on the exponential decay function is a better fit.

Individual estimates of TMS treatment response from the nonlinear mixed-effects model. These panels illustrate representative longitudinal depression ratings from the Patient Health Questionnaire 9 (PHQ-9) during TMS treatment (open circles) from nine individuals as well as the nonlinear mixed-effects model fit (line).

In subsets containing complete longitudinal data from this naturalistic sample, k-fold and leave-one-out cross-validation approaches yielded consistent estimates of the time constant B (fivefold: mean 1.218weeks, sd 0.079; tenfold: mean 1.217weeks, sd 0.080; LOOCV: mean 1.213weeks, sd 0.023). By rearranging Eq.(1) as shown in Eq.(2), we calculated predicted values of C for the left-out samples using the time constant estimate (B) and symptom scores at baseline and after one week (n=90) or two weeks (n=82) of treatment. Predicted C values were constrained to 0 to 27, inclusive, corresponding with the range of possible PHQ-9 scores.

$$begin{array}{c}frac{Dleft(tright)-Dleft(0right){times e}^{left(frac{-t}{B}right)}}{1-{e}^{left(frac{-t}{B}right)}}=C.end{array}$$

(2)

Predicted C values from each cross-validation approach were highly correlated (r>0.999) and yielded significant correlations with PHQ-9 scores at the end of treatment, accounting for 38% to 58% of the variance in final scores, using PHQ-9 scores at baseline and after one week (adjusted R2=0.379 to 0.383, p<0.0001) or two weeks (adjusted R2=0.576 to 0.580, p<0.0001) of daily TMS sessions.

Predicted categorical treatment response, defined by a 50% reduction in PHQ-9 scores at the end of treatment, was assigned using the C values in Eq.(2) (i.e. C0.50 D(0)). These assignments did not differ across cross-validation methods. Using week 1 predictions, treatment response was assigned with 78% accuracy, 68% sensitivity, 82% specificity, 85% negative predictive value (NPV), and 63% positive predictive value (PPV). Assigning categorical treatment response using week 2 estimates, yielded 80% accuracy, 73% sensitivity, 84% specificity, 87% NPV and 68% PPV.

The NLME model was extended to group-level data from three published studies comparing multiple TMS modalities for treatment-resistant depression9,26,27, including left-sided high-frequency (10Hz) repetitive TMS, standard and accelerated TBS, and right-sided, low-frequency (1Hz) stimulation. These NLME models using the exponential decay function yielded significant estimates for all model parameters (all p<0.005).

In a randomized noninferiority study comparing TBS to 10Hz stimulation, the THREE-D study26, the NLME model estimated the magnitude of total response (A) to be a drop of 12.2 points on the HAM-D with a time constant of 2.3weeks. When compared to the corresponding LME model, the NLME model yielded a significant likelihood ratio (LRT=18.1, p<0.0001) and lower AIC (49 vs 65) and BIC values (53 vs 69), demonstrating the NLME model is a better fit.

Similarly, when this exponential decay model was applied to a randomized controlled trial comparing left-sided 10Hz stimulation and right-sided 1Hz stimulation27, estimates of the treatment response (A) demonstrated an average 13.6 point drop on the HAM-D with a time constant B of 1.2weeks. This NLME model demonstrated a significant likelihood ratio (LRT=22.7, p<00001) and lower AIC (81 vs. 102) and BIC (88 vs. 108) values compared to the corresponding LME model, indicating the nonlinear model is a better fit.

Finally, when applied to a randomized controlled trial comparing accelerated bilateral TBS above (120%) and below (80%) MT to standard left-sided 10Hz stimulation9, the NLME model yielded estimates of a total 6.0 point drop on the QIDS-C29 with a time constant of 0.7weeks. When compared to the corresponding LME model, the NLME model yielded a significant likelihood ratio (LRT=44.1, p<0.0001) and lower AIC (30 vs 72) and BIC (35 vs 76) values, suggesting the exponential decay model was a superior fit.

The exponential decay model was also fit at the individual group level using nonlinear least squares for each group in the above studies9,26,27, an unblinded accelerated, high dose TBS study7 and our naturalistic clinical sample. Although these individual group fits did not always yield significant estimates for all model parameters based on limited degrees of freedom, when the AIC and BIC values from these nonlinear fits were compared to corresponding linear models of the same group-level data, exponential decay models consistently yielded lower AIC and BIC values for all TMS samples studied (Fig.3).

Modeling group-level symptom response to transcranial magnetic stimulation (TMS): the exponential decay model was applied to group-level depression ratings from our clinical sample (n=97) as well as group-level data four published clinical trials7,9,26,27 utilizing a variety of TMS protocols including left-sided repetitive 10Hz TMS, standard and accelerated theta-burst stimulation, and right-sided, low-frequency (1Hz) TMS. In each case, the exponential decay models (solid line) yielded better fits when compared to corresponding linear models (dotted line) as illustrated by lower Akaike Information Criterion (AIC) values (lower right).

When the exponential decay model was applied to the unique group-level symptom trajectories identified in the secondary analysis of the THREE-D study10, the NLME model was able to describe each group trajectory in terms of parameters A, B, and C, (Eq.1, Fig.4). The three groups of responders demonstrated similar estimates of the magnitude of treatment response (parameter A), with reductions of 13.0, 13.9 and 14.5 points on the HAM-D for Lower baseline symptoms, linear response, Higher baseline symptoms, linear response, and Rapid response groups, respectively. However, these groups differed more markedly in their group estimates of the time constant B, with Rapid response at 1.1weeks, followed by Lower baseline symptoms, linear response at 2.4weeks, and Higher baseline symptoms, linear response at 3.8weeks. These differences correspond to the speed at which these groups approach their minimum depressive symptom rating scores during TMS treatment. In contrast, the Nonresponse group was associated with a minimal estimate of total treatment response (parameter A) of a 2.7-point reduction on the HAM-D and a long estimate for the time constant B of 7.5weeks. This NLME model was associated with a significant likelihood ratio (LRT=30.7, p<0.0001) and lower AIC (121 vs. 143) and BIC (134 vs. 151) values compared to a corresponding LME model, indicating that these trajectories were better modeled with the nonlinear exponential decay function.

Modeling unique treatment response trajectories to transcranial magnetic stimulation (TMS): A nonlinear mixed-effects model (solid lines) was constructed to model the four treatment trajectories identified by Kaster et al. (N=388)10. Each of these response trajectories could be described using the three parameters of the exponential decay function (Eq.1). This nonlinear mixed-effects model demonstrated a superior fit when compared to a corresponding linear mixed-effects model (dotted lines).

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Modeling the antidepressant treatment response to transcranial ... - Nature.com

Three recent developments have caught the attention of investors and experts alike. Firstly, TMS Networks (TMSN) is gaining popularity among users. Secondly, USD Coin (USDC) is scrutinized for its risk-reward ratio. Finally, there is optimism in the DeFi and traditional finance (TradFi) spaces that the price of Optimism may rally by 25%. This article will examine these three developments and what they could mean for crypto and DeFi.

According to InvestorsObserver analysis, USD Coin (USDC) has been given a low-risk rating. The risk assessment system analyzes the amount of money needed to influence the tokens price in the last 24 hours, considering changes in volume and market capitalization. Traders concerned about risk can use the USD Coin (USDC) risk gauge rank to avoid or consider risky investments. USD Coin (USDC) is currently rated as a low-risk investment.

USD Coin (USDC) has experienced a minor price decrease of 0.01% to its current value of $1.00. The tokens volume is below average, and its market capitalization has risen. In the last 24 hours, $4,569,159,292.34 worth of USD Coin (USDC) has been traded, with the cryptocurrency now having a market capitalization of $30,724,882,414.85. Based on these factors, USD Coin (USDC) has been given a low-risk rating.

Optimism (OP) is an Ethereum layer 2 scaling solution that aims to increase transaction throughput and reduce gas fees on the network. Optimism (OP)s price has risen by over 3% in the last 24 hours, and trading volume has increased by 41%, indicating growing demand for the token, making it a viable option for traders.

If the bullish momentum continues, Optimism (OP) price may surpass the 100- and 50-day Exponential Moving Averages at $2.236 and $2.383, respectively. These price levels are significant supply congestion zones and could be used by bulls as an opportunity to enter the Optimism (OP) market.

The Optimism (OP) price can exceed the psychological barrier of $2.787 and break out of the consolidation zone that it has been in for several months. In the most ambitious scenario, Optimism (OP) could reach $3.114, representing a 40% increase from its current price level.

TMS Network (TMSN) is a decentralized exchange (DEX) platform that provides users with a unique way to trade on Ethereum. Unlike traditional exchanges, TMS Network (TMSN) addresses issues such as high fees, slow transactions, and lack of education by offering innovative features like social trading and trading bots.

One of the notable advantages of TMS Network (TMSN) is its compliance with crypto trading regulations worldwide, which ensures that the platform can operate without any concerns of being shut down. Additionally, the token presale for TMS Network (TMSN) has already been completed, meaning token holders can earn dividends based on the exchanges profits.

TMS Network (TMSN) focuses on innovative features, and education sets it apart from decentralized exchanges. Moreover, with the completion of the token presale, TMS Network (TMSN) offers its token holders an opportunity to benefit from the exchanges profits.

The TMS Networks (TMSN), USD Coin (USDC), and Optimism (OP) are all making waves in the crypto and DeFi world. TMS Network (TMSN) is gaining popularity among users and investors, while USD Coin (USDC) is being scrutinized for its risk-reward ratio. Investors and experts are showing interest in Optimism (OP) due to its possible increase in price by 25%. The world of cryptocurrency and decentralized finance is constantly evolving, and these three developments are just a small glimpse of whats to come.

Presale:https://presale.tmsnetwork.io

Website: https://tmsnetwork.io

Telegram: https://t.me/TMSNetworkIO

Twitter: https://twitter.com/@tmsnetwork_io

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USD Coin (USDC) & Optimism (OP)'s Investors Are Aping Into TMS ... - Analytics Insight

The crypto market has been rocked by TMS Networks (TMSN) astounding 2400% increase in presale. This boost in TMS Networks (TMSN) presale has also had a ripple effect, with Optimisms (OP) having increased by 10% due to its novel scaling solution for Ethereum. In addition, Binance Coin (BNB) is also rising by over 50% due to investors faith in Binance Coin (BNB).

Optimism (OP) is showing an extremely unexpected rise in price today after registering a sharp 4% increase to $2.5841 recently. In addition, Optimism (OP) has experienced a 10% increase in value over the last week, which sets a new standard for other Layer 2 protocols that compete with it.

The positive perception of Optimism (OP) can be attributed to its growing ecosystem, which contributes to a bullish outlook for the protocol. In addition, optimism (OP) has made several new announcements to support and strengthen its technology stack, which has been well-received by the Optimism (OP) community.

One of these developments is the launch of Magi, a new rollup client for Optimism (OP) Stack built using the Rust programming language. As things stand, The positive outlook for Optimism (OP) is currently due to its rapidly expanding ecosystem.

Binance Coin (BNB) has lately started a big surge with a target price of $400. The quarterly Binance Coin (BNB) burn and the expectation of the Binance Coin (BNB) Beacon Chain hard fork upgrade slated for this week are the reason for the increase in Binance Coins (BNB) value.

With a 24-hour low of $333 and a high of $350, one Binance Coin (BNB) is currently $342. In the past 24 hours, the trading volume has increased by almost 50%, indicating traders increased interest.

Binance Coins (BNB) price has surpassed the critical $340 barrier level in the daily timeframe, reaching a 6-month high. A quick rally to $400 is likely if Binance Coin (BNB) overcomes nearby opposition in the $355$360 zone. But given that Bitcoin has fallen below $30,000 and its performance affects the whole cryptocurrency market, Binance Coin (BNB) might encounter difficulties.

With characteristics including price consistency, organizational-level liquidity, minimal trading fees, and quick transaction speeds, TMS Network (TMSN) enables traders to trade cryptocurrencies and conventional derivatives on a single platform.

Traders on TMS Network (TMSN) are granted voting privileges, allowing them to participate in decision-making. This is a clear sign of the community-focused strategy TMS Network (TMSN) uses, which enables users to express their needs and interests completely.

A TMS Network (TMSN) token is currently available at $0.085, representing a price increase of 2400% from the launch price of $0.0047. With 40% of stage 3 sold out, whales are now amassing many TMS Network (TMSN) tokens.

In conclusion, TMS Network (TMSN) is experiencing explosive growth, with its presale surging by 2400%, making it one of the most sought-after trading platforms in the crypto world, which has led to a positive outlook for Optimism (OP) and Binance Coin (BNB). As a result, the innovative ecosystem of Optimism (OP) has attracted investor interest. At the same time, Binance Coin (BNB) has been buoyed by its quarterly burn and the expectation of a hard fork upgrade.

Presale: https://presale.tmsnetwork.io

Website: https://tmsnetwork.io

Telegram: https://t.me/TMSNetworkIO

Twitter: https://twitter.com/@tmsnetwork_io

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TMS Network (TMSN) Presale Gains 2400%: Optimism (OP) and ... - Analytics Insight

The world of anime is extremely vast and filled with all different kinds of characters and stories. While fans nowadays have access to a variety of anime, it is important to remember that it is the anime studios that work tirelessly to produce them. There are plenty of great studios in Japan, with TMS Entertainment being one of the most well-known.

RELATED: Anime Power Systems That Are Overly Complicated

TMS Entertainment has produced some of the biggest anime projects in recent years. Considering the sheer amount of anime produced by the studio, it is not easy to pick a favorite. However, some of the series are better than the rest, whether in terms of story, characters, or other aspects.

Riichiro Inagaki and Boichi's Dr. Stone manga has inspired a hit anime series. The first season of anime began airing in July 2019, and the subsequent season was released in 2021. The success of the first two seasons meant that the third was imminent, and it was slated for release in 2023.

Dr. Stone follows the life of Senku Ishigami, a genius student who seeks to rebuild civilization after humanity was petrified for thousands of years. Senku faces many challenges in his quest, but he manages to overcome them with his intelligence. Dr. Stone offers a unique twist to regular shonen. The anime is not only full of action and great storylines, but it also contains scientific information.

Ijiranaide, Nagatoto-san is not an action-oriented series, but that doesn't mean that it is not entertaining. The story combines romantic elements with comedy, ensuring that the viewers always have something to chuckle about.

RELATED: Romance Manga You Should Read (Now They Are Complete)

The anime focuses on Naoto Hachioji, a high school recluse who likes drawing and hates social interactions. One fateful day, Nagatoro finds his manga, which leads to continuous teasing. Naoto is initially hesitant to open up to her, but Nagatoro's persistence helps him to come out of his shell.

Megalo Box is an absolutely gorgeous sports anime that tackles many things that are present in the real sporting world. From throwing away matches to causing a major upset on the big stage, Megalo Box has it all.

Junk Dog, a lowly fighter in the underground boxing scene, lives off fighting other megalo boxers. While his desire is to fight strong opponents and win every single time, his boss forces him to fix some of the matches for money. This pattern continues until Yuri beats Junk Dog in a fight one day. Yuri issues a challenge to Junk Dog, who readily accepts it.

Fruits Basket is a complex anime series that tackles several real-life problems. For this reason, it has gained a lot of popularity within the anime community. Fruits Basket handles these issues by presenting them in an interesting way to the audience.

RELATED: Great Philosophical Anime

The series follows Tohru Honda, a young girl who is orphaned after her mother dies tragically in a car accident. Tohru stays at her grandfather's home temporarily, but she moves out after some of the family members were rude to her. Tohru starts living in a tent, and it works for a while. Sadly, it gets destroyed in a landslide, forcing her to move in with the Sohma family.

Detective Conan is one of the longest-running anime series. Despite having over a thousand episodes, Detective Conan still manages to produce incredible cases that keep the audience hooked. Detective Conan has also inspired several movie adaptations, video game titles, and spinoffs.

Shinichi Kudo is a high school detective who has a solid reputation for solving tough cases. Even the police sometimes approach him to ask for help with their investigations. Shinichi's efforts earn him many enemies, and one of them tries to murder him by feeding him a drug. However, the drug only changes his body into that of a young boy.

Yowamushi Pedal is also an anime series that falls into the sports genre of anime. However, it does not cover popular sports such as football, basketball, or tennis, instead focusing on cycling. Yowamushi Pedal is based on the manga written by Wataru Watanabe. It has sold over 25 million copies, making it one of the best-selling manga series of all time.

The series follows Sakamichi Onoda, an otaku who tries to join the anime club at his high school. However, he is devastated after finding out that the club has been dissolved because of a lack of interest. As he tries to find new members for the club on his bicycle, he catches the attention of two cycling enthusiasts.

D-Gray Man is the story of Allen Walker, who joins an organization to defeat Millennium Earl and his army. Allen's path is ridden by different types of challenges, each more difficult than the last.

Along with its intriguing story, the characters and other elements present in D-Gray Man give it a high rewatch value. D-Gray Man is a truly sensational anime, and every anime fan needs to see it at least once in their lifetime.

For many people, Akira was the gateway into the world of anime. The movie was released in 1988, and it managed to earn $40 million. Akira has many unique elements that have helped it to stand the test of time.

Akira is set in a dystopian version of Japan, where the entire city is overrun with criminals. Shtar Kaneda and his gang are constantly engaged in conflict with other gangs. In one of their many altercations, his best friend Tetsuo Shima ends up in an accident involving an esper. The accident results in Tetsuo awakening psychic powers of his own, causing him to become a target for the government.

MORE: Best Fights In Shonen Anime

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The Best Anime By TMS Entertainment - GameRant

Following its continued success in presale, TMS Network (TMSN) now threatens to outperform major crypto titans. TMS Network (TMSN) may soon overtake Shiba Inu (SHIB) and Stacks (STX), which have recently struggled in the market.

Shiba Inu was launched in 2020 as a meme coin. During the 2021 meme coin craze, Shiba Inu (SHIB) surged over 50,000% to compete with Dogecoin (DOGE), another dog-themed meme coin. Shiba Inu (SHIB) fell along with the rest of the crypto ecosystem during the 2022 bear market, losing over 90% of its value.

To reclaim its value, the Shiba Inu (SHIB) team has been releasing a variety of products aimed at attracting DeFi activities to the platform. The Shiba Inu (SHIB) ecosystem has expanded to include ShibaSwap, a decentralized exchange, NFTs and an NFT marketplace, and Shibarium, a layer-2 scaling network.

Despite these developments, Shiba Inu (SHIB) has yet to rally and is still trading far below its all-time high. This is primarily because these features do not stand out sufficiently to compete with established players who already have a loyal user base.

Stacks is a layer-1 blockchain solution that was designed to bring smart contracts and DeFi activities to the Bitcoin network. Stacks (STX) can bring smart contract functionality to Bitcoin without compromising the networks security and scalability. This ensures that everything that happens on Stacks (STX) is settled on Bitcoin, the most secure blockchain.

The STX token is the native token that powers the Stacks (STX) platform. STX powers the execution of smart contracts, processing transactions, and registration of new digital assets on the Stacks (STX).

While Stacks (STX) appears to be a promising investment, it faces significant competition from more established DeFi providers such as Ethereum and Solana.

TMS Network (TMSN) is a new innovative DeFi sensation that has made headlines in 2023. TMS Network (TMSN) has seen a value increase of more than 2500% in the two months since it entered the market as a result of increasing demand. Its novel approach to decentralized trading has played a significant role in this growth.

TMS Network (TMSN) is an Ethereum-based decentralized all-in-one trading platform that aims to revolutionize the traditional trading industry and provide a better way to trade. TMS Network (TMSN) addresses key issues in the industry such as price manipulation, slow transactions, and inadequate education. The platform leverages the power of blockchain technology to become a decentralized exchange, eliminating the problems associated with centralization.

Through blockchain technology and smart contracts, TMS Network (TMSN) can offer users a secure, transparent, and efficient trading experience with increased liquidity. The platform enables traders to invest in a wide range of assets, including stocks, CFDs, cryptocurrencies, and forex, in a fully decentralized environment using crypto payments. With a large asset pool, traders have access to more markets, allowing for faster trades and better prices for increased profits.

TMS Networks (TMSN) has received significant investor interest during its ongoing presale campaign, indicating growing market dominance. TMS Network (TMSN) is already in stage three of its presale, trading at $0.08. The first two stages were enormously successful, raising over $4 million. The TMSN token has seen a 2500% price since stage one of the presale. The presale campaign will conclude in June 2023, followed by a listing on Uniswap. TMS Network (TMSN) is then expected to 100x within a year of its launch, outperforming Shiba Inu (SHIB) and Stacks (STX).

Presale:https://presale.tmsnetwork.ioWebsite: https://tmsnetwork.ioTelegram: https://t.me/TMSNetworkIOTwitter: https://twitter.com/@tmsnetwork_io

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TMS Network (TMSN) Predicted To Pass Shiba Inu (SHIB) And Stacks (STX) In Popularity Within A Year | - Bitcoinist