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$PHE (Private Health Ecosystem) can be used for secure machine learning in healthcare by providing a secure and private environment for data analysis and model training. Here are some ways $PHE can be used for secure machine learning: Secure Data Sharing 1. *Private Data Sharing*: $PHE allows for private data sharing between healthcare organizations, researchers, and AI developers, enabling secure collaboration and model training. 2. *Data Anonymization*: $PHE can anonymize sensitive patient data, making it possible to use the data for machine learning model training while protecting patient privacy. Secure Model Training 1. *Homomorphic Encryption*: $PHE can use homomorphic encryption to enable secure model training on encrypted data, ensuring that sensitive patient data remains protected. 2. *Secure Multi-Party Computation*: $PHE can use secure multi-party computation to enable secure model training on private data from multiple sources, without revealing the underlying data. Secure Model Deployment 1. *Model Encryption*: $PHE can encrypt machine learning models to protect them from unauthorized access or tampering. 2. *Secure Model Serving*: $PHE can provide secure model serving, enabling healthcare organizations to deploy machine learning models in a secure and controlled environment. Benefits of $PHE for Secure Machine Learning 1. *Improved Patient Outcomes*: $PHE can enable secure machine learning in healthcare, leading to improved patient outcomes and more effective treatments. 2. *Increased Trust*: $PHE can increase trust in machine learning models by providing a secure and transparent environment for data analysis and model training. 3. *Compliance with Regulations*: $PHE can help healthcare organizations comply with regulations such as HIPAA and GDPR, by providing a secure and private environment for data analysis and model training.

Bitcoin dropped below $77,000 today after US President Donald Trump announced a 104% tariff on Chinese imports, escalating trade tensions that have unsettled global markets since April 2. The tariff announcement sparked volatility across risk assets, with both the S&P 500 and Nasdaq experiencing sharp intraday gains of around 4% before retreating to erase most of their daily gains. Bitcoin followed a similar pattern, briefly surging above $80,000 before falling below $77,000. Ahead of the tariff rollout, President Trump engaged in talks with allies like South Korea and Japan, sparking brief market optimism. The White House said nearly 70 countries had reached out seeking trade agreements, and Trump described the talks as a “beautiful and efficient” process. Despite these negotiations, he confirmed that the 104% tariffs on Chinese imports would proceed, set to take effect at 12:00 AM on April 9. China commented on Monday in response to Trump’s earlier tariff threat, vowing to “fight to the end” and rejecting what it called “US blackmail,” signaling little chance of compromise. The economic fallout has prompted renewed concerns about a slowdown. Goldman Sachs recently raised its forecast for a US recession to 45%, citing tightening financial conditions and growing trade uncertainty. In parallel, JPMorgan now expects the Federal Reserve to begin a series of rate cuts starting in June 2025, with one cut at each meeting and an additional reduction in January, bringing the upper bound of the benchmark policy rate to 3%. Adding to the cautious tone, a Bloomberg report cited David Rolley, portfolio manager and co-head of global fixed income at Loomis Sayles, who called the tariffs “the only tax they can hike” during a recent financial event. His colleague Pramila Agrawal estimated a 60% chance of a US recession, while Andrea Dicenso, a multi-asset and EM debt strategist at Loomis Sayles, said investors are shifting to European and Latin American markets, which she sees as more stable than the US.

Goldman Sachs has reversed its recession forecast after President Donald Trump announced a 90-day pause on most of the administration’s new tariffs, calming markets rattled by trade war fears. Earlier Wednesday, Goldman analysts shifted to a recession baseline following the rollout of new country-specific tariffs. But after Trump’s announcement, the firm updated its outlook to a “non-recession baseline,” projecting modest GDP growth of 0.5% by Q4 2025 and three expected Fed rate cuts starting in June, according to CNBC reporting . Markets responded quickly. Bitcoin surged past $82,000, and the Nasdaq approached a 10% gain, recovering from its worst multi-day performance since the 2008 financial crisis. The 10-year Treasury yield eased from 4.5% to 4.4%. Goldman Sachs’ research department publishing these two headlines 73 minutes apart lmao pic.twitter.com/45TJplzU9I Trump, posting on Truth Social, said multiple countries had initiated talks over trade and currency, prompting the tariff pause and a temporary reduction of the reciprocal tariff rate to 10%. However, tariffs on Chinese imports were raised to 125%, effective immediately. Goldman now estimates a 45% chance of recession and expects core inflation to peak at 3.5%, according to its latest client note. The surprise move came after f our days of intense market volatility and mounting fears of a global recession. Treasury Secretary Scott Bessent will now lead upcoming trade negotiations, a shift Wall Street views positively due to his moderate stance.

$SOL | H4 & H12 No sweep of the H4 swing highs within the bearish POIs above for short. We have this tiny H4 FVG, H4 swing low was printed within it and it was swept - sweep into demand, a valid HTF trigger for long setup, bullish MSB on M15 will be the LTF trigger. Not interested into taking the long because: 1/ No external liquidity was swept (range low) 2/ Not a big fan of trading the internal liquidity POIs - longing a multi bear range. 3/ The long should aim to the H4 swing highs above - the RR is joke.

TL;DR Pi Network’s native token plummeted to an all-time low of under $0.40 on April 5. Just a day later, though, it spiked substantially to almost $0.75 before retracing to the current $0.57 as the broader crypto market slumped at the start of the week. One important factor suggesting a further plunge in the short term is the scheduled unlock of tokens. Data shows that almost 1.5 million PI are about to be released today (April 8). The total number of tokens unlocked throughout the ongoing month will be over 160 million (worth approximately $92 million at current rates). The record day is expected to be April 18, when 9.8 million PI will be freed up. The substantial unlock this month may be followed by a price decline should investors decide to dispose of their long-awaited assets. Currently, PI’s circulating supply stands at roughly 6.8 billion tokens, but more than 5.1 billion remain in the form of locked mining rewards. In addition to the scheduled unlocks, industry participants have supposedly moved 2 million tokens to exchanges in the past 24 hours. Such actions indicate an upcoming cash-out, which may amplify selling pressure and drag down PI’s valuation. Speaking of price predictions, one X user recently told his over 80,000 followers that PI’s huge decline in the past month resembles more “a dump” than “a dip.” They also asked if the price will first reach $0.314 or $3.14. The depicted targets are symbolic to the Pi community as they remind of the mathematical constant π ≈ 3.14. Currently, plunging to $0.314 seems much more realistic than ascending to the upper level. Several months ago, some optimists assumed that the price could one day skyrocket to $314. It’s worth mentioning that such a high valuation would require the asset’s market capitalization to explode to multi-trillion territory, making the forecast highly implausible and even ridiculous (at least as of now).