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Energy-Efficient Chipmaker Ambiq Micro Files for US IPO

Energy-Efficient Chipmaker Ambiq Micro Files for US IPO

Bloomberg11 hours ago
Ambiq Micro Inc., a maker of ultra-low power semiconductors, has filed for an initial public offering as tech companies try to address the power consumption challenges posed by artificial intelligence computing.
The Austin-based company's chips are used in personal devices like fitness trackers, and industrial applications such as crop monitoring, according to a Thursday filing with the US Securities and Exchange Commission. It had a net loss of $8.3 million on revenue of $15.7 million in the three months ended March 31, the filing said.
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Digital Twins: Medicine's New Crystal Ball?
Digital Twins: Medicine's New Crystal Ball?

Medscape

time8 minutes ago

  • Medscape

Digital Twins: Medicine's New Crystal Ball?

Digital twins are rapidly emerging as powerful tools in personalized medicine and beyond. In healthcare, they serve as virtual representations of a patient's body, body parts, specific organs, and systems, such as the circulatory and nervous systems. Functional modeling of the state and behavior of the body or its components has the potential to provide information for clinical and research applications. The goal is to simulate how an organ, system, or even the entire body responds to stimuli and circumstances of clinical relevance to the patient, thereby deriving useful conclusions. These models may be descriptive, predictive, prescriptive, or even generative, capable of filling in missing or unavailable data. A central challenge is accurately replicating the physicochemical, physiological, anatomical, and, when needed, psychological attributes relevant to each specific use case. Building clinically useful digital twins depends on integrating diverse data sources, which is a technically complex task. However, when successful, it enables a dynamic 'dialogue' with the model to evaluate its current state, forecast evolution, and simulate responses to interventions such as therapies. It is important to emphasize that digital twin simulations are tailored to individual patients — they do not represent a generic or archetypal patient but instead aim to create a personalized model for a specific individual. One example is a project led by the Spanish National Cancer Research Centre (CNIO), which is developing digital twins of women with advanced cancer using artificial intelligence. This initiative, titled 'High-Definition Oncology in Women's Cancer,' is part of the Precision Medicine Infrastructure Associated With Science and Technology program. These digital twins consist of multiple layers of information integrated into a single model that reflects reality for a specific application. In the aforementioned project, a wide range of data were incorporated into the digital twin models, spanning tumor metabolism, gene and protein expression, physiological indicators such as circadian rhythms, heart rate, and physical activity, emotional well-being, and conventional clinical data from diagnostics to treatment protocols. Adding more 'layers' of information enhances the model complexity and accuracy, enabling incremental improvements and expanded functionality. A notable innovation in this case is the biological clock model developed by the CNIO, which estimates a patient's biologic age. This can help assess whether biologic aging accelerates or slows during disease progression, providing insight into the effect of treatment. This may guide clinicians in adjusting treatment intensity or modifying therapeutic combinations according to the patient's evolving biologic state. The layers of information used and their integration are key aspects of each type of digital twin, ensuring that it is not only functional but also clinically relevant. In many ways, digital twins serve as 'maps,' both literal and figurative. In the most direct sense, they can guide the planning of physical interventions such as surgical procedures. Broader Applications In addition to simulating the effects of therapies, digital twins can model the natural progression of diseases and support long-term care planning. They may help anticipate the onset of certain conditions, particularly hereditary diseases, when risk factors are present but symptoms have yet to appear. These models offer valuable tools for proactive risk prevention and management. In the context of prevention, the ability to present a stronger, data-driven case — even if derived from simulations — could help persuade patients and improve adherence to preventive care guidelines. Integration With Medical Devices From a certain perspective, digital twins resemble a technology-driven 'crystal ball.' Once refined, these models could allow clinicians to explore alternative therapeutic scenarios and identify the most effective treatment strategies. This minimizes reliance on trial and error, enabling faster data-driven decisions in a controlled simulation environment, a kind of clinical sandbox. A key area of synergy lies between the digital twins and medical devices. Wearable technologies, for instance, can supply real-time or periodic health data that dynamically update a patient's digital twin. Conversely, digital twins can enhance the medical device field by enabling the optimization of device configurations or implant placements. Their integration into the body and potential physiological effects can be modeled and simulated in advance, allowing for more precise and personalized interventions. These models also help to synthesize and manage large volumes of complex data. By serving as intelligent filters, they reduce the cognitive load on clinicians, offering clear visualizations and simulations that support more confident decision-making, especially in complex or uncertain clinical situations. Applications and Regulatory Considerations Digital twins hold promise across a wide range of medical applications, from early diagnosis, prognosis, and personalized therapy selection to treatment monitoring and relapse prevention. In fields such as neurology, cardiology, and oncology, these models have already shown potential. Digital twins have already been applied in neurology, cardiology, and oncology. Focusing on Spain-based developments, two recent advances featured by Univadis Spain , a Medscape Network platform, stand out: One involves using digital twins for research on the human brain to uncover mechanisms linked to psychosis remission, and the other demonstrates the use of digital twin improvements in the diagnosis of premature ventricular contractions. While the field is evolving rapidly, it remains in its early stages. Although technical hurdles and regulatory complexities are expected, the long-term potential is significant. Digital twins could enable faster and safer evaluations of multiple treatment paths and support virtual experimentation in a risk-free environment. One major challenge is clinical validation. Digital twins must be tested with real-world longitudinal data and demonstrate that their predictions provide added value compared to current clinical guidelines. Equally crucial is the development of interoperable, cross-border data infrastructure that enables scalable, coordinated adoption across healthcare systems worldwide. A final and crucial aspect to consider is data privacy, ownership, and ethical use of digital twins. Beyond the data itself, fundamental questions arise about digital twin models: Who owns a person's digital twin? Should these models be transferable, and if so, under what conditions? Informed consent is central to addressing these issues and ensuring the responsible use of digital twin technologies in clinical practice. The use of digital twins in clinical trials is already being explored, and their potential extends further to medical training and patient education, particularly in explaining therapeutic options. As technology evolves, the range of future applications continues to expand.

Want Cheaper Solar Panels, Home Batteries or a Heat Pump? Better Act Soon
Want Cheaper Solar Panels, Home Batteries or a Heat Pump? Better Act Soon

Yahoo

time12 minutes ago

  • Yahoo

Want Cheaper Solar Panels, Home Batteries or a Heat Pump? Better Act Soon

(Bloomberg) -- The Republican-led US Senate's passage of legislation to eliminate incentives for clean energy means homeowners likely have until the end of the year to install solar panels, batteries and heat pumps before costs soar. NYC Commutes Resume After Midtown Bus Terminal Crash Chaos Struggling Downtowns Are Looking to Lure New Crowds What Gothenburg Got Out of Congestion Pricing Massachusetts to Follow NYC in Making Landlords Pay Broker Fees California Exempts Building Projects From Environmental Law The bill must still be reconciled with the House of Representatives version and signed into law by President Donald Trump. But the Senate action has dashed advocates' hopes that it might restore some Inflation Reduction Act (IRA) subsidies, or at least give people more time to claim a 30% tax credit on the five-figure cost of installing rooftop solar and home battery storage systems. The Senate bill terminates those subsidies, along with a $2,000 tax credit for buying heat pumps, after Dec. 31 and repeals a $7,500 tax credit for the purchase of some electric vehicles after Sept. 30. A loophole that allowed carmakers to pass that savings to customers who lease EVs also would end then. 'The repeal of the credits takes away an option for households to gain not just climate friendly appliances but appliances and systems that effectively enabled them to cut their energy bills,' said Ari Matusiak, chief executive officer of Rewiring America, a nonprofit that advocates for community electrification. He noted that 3.4 million households claimed IRA tax credits in 2023. Matusiak said the subsidies' original expiration in 2032 gave homeowners long-term assurance that when a fossil fuel furnace or water heater suddenly failed, they would receive financial help to replace them with high-efficiency but more expensive electric versions and could install subsidized solar panels to power the devices. Now with those tax credits disappearing, homeowners and installers are scrambling. Martyna Kowalczyk, chief executive officer of Solartime, a family-owned Dallas area solar installer, said she's been interviewing prospective project managers to handle an expected influx of customers in the coming months. 'I am trying to prepare for the rabbit race,' said Kowalczyk. 'Everyone who is considering solar will try to get in this year. And next year will be a drought.' For homeowners, there's reason to rush to their local installer. The tax credits would save more than $10,000 on an average $35,000 system. Most solar panels and home batteries are imported and their cost is likely to rise due to US tariffs. But the looming deadline to claim the tax credits means it's crucial to choose an installer with the capacity to design a rooftop array and battery system, obtain the necessary permits and complete the job in a matter of months. Under the House version of the tax legislation, only systems installed and 'placed in service' by a utility before the tax credits' expiration qualify for the incentives. That raises an issue beyond the control of the installer — the time it takes for your local utility to connect a completed solar array to the grid. In Northern California, for instance, utility Pacific Gas & Electric says it usually flips the switch on a new solar system in five to 10 business days but the process can take up to a month. The Senate bill softens the blow a bit by deleting the 'placed into service' requirement. But homeowners would have to pay for solar and battery systems by Dec. 31 to be eligible for the tax credit. The risk is that delays push completion and activation of a solar and battery array beyond the deadline to claim tax credits and a homeowner is left on the hook for the full cost of the system. Other factors to consider include the age of your roof and whether it needs to be replaced before installing solar panels. Also, make sure your home's electrical panel has sufficient capacity to accommodate a solar and battery system or heat pumps. Even before the tax bill, A1 Sun, a Berkeley, California-based installer, was already booked through the end of 2025. 'We are placed in the unfortunate position of both not being able to take advantage of any sort of 'gold rush' for new contracts this year, and also having a lot of anxiety about being able to meet our commitments to install those customers who already had contracts in place,' said Reuben Ly, sales manager for family owned A1 Sun. 'It's just pulling the rug out from underneath us,' he said of the tax bill. SNAP Cuts in Big Tax Bill Will Hit a Lot of Trump Voters Too America's Top Consumer-Sentiment Economist Is Worried How to Steal a House China's Homegrown Jewelry Superstar Pistachios Are Everywhere Right Now, Not Just in Dubai Chocolate ©2025 Bloomberg L.P. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Why OneSpan (OSPN) Outpaced the Stock Market Today
Why OneSpan (OSPN) Outpaced the Stock Market Today

Yahoo

time12 minutes ago

  • Yahoo

Why OneSpan (OSPN) Outpaced the Stock Market Today

In the latest trading session, OneSpan (OSPN) closed at $17.49, marking a +1.75% move from the previous day. The stock exceeded the S&P 500, which registered a gain of 0.83% for the day. At the same time, the Dow added 0.77%, and the tech-heavy Nasdaq gained 1.02%. Shares of the internet security company have appreciated by 7.5% over the course of the past month, underperforming the Computer and Technology sector's gain of 8.25%, and outperforming the S&P 500's gain of 4.99%. The investment community will be closely monitoring the performance of OneSpan in its forthcoming earnings report. The company is predicted to post an EPS of $0.27, indicating a 12.9% decline compared to the equivalent quarter last year. Looking at the full year, the Zacks Consensus Estimates suggest analysts are expecting earnings of $1.45 per share and revenue of $0 million. These totals would mark changes of +9.85% and 0%, respectively, from last year. Investors should also note any recent changes to analyst estimates for OneSpan. These recent revisions tend to reflect the evolving nature of short-term business trends. As a result, upbeat changes in estimates indicate analysts' favorable outlook on the business health and profitability. Research indicates that these estimate revisions are directly correlated with near-term share price momentum. To utilize this, we have created the Zacks Rank, a proprietary model that integrates these estimate changes and provides a functional rating system. The Zacks Rank system, stretching from #1 (Strong Buy) to #5 (Strong Sell), has a noteworthy track record of outperforming, validated by third-party audits, with stocks rated #1 producing an average annual return of +25% since the year 1988. Within the past 30 days, our consensus EPS projection remained stagnant. As of now, OneSpan holds a Zacks Rank of #3 (Hold). In terms of valuation, OneSpan is currently trading at a Forward P/E ratio of 11.85. For comparison, its industry has an average Forward P/E of 28.74, which means OneSpan is trading at a discount to the group. The Internet - Software industry is part of the Computer and Technology sector. This industry currently has a Zacks Industry Rank of 46, which puts it in the top 19% of all 250+ industries. The Zacks Industry Rank gauges the strength of our industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1. Don't forget to use to keep track of all these stock-moving metrics, and others, in the upcoming trading sessions. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report ONESPAN INC (OSPN) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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