Latest news with #Pattern
Business of Fashion
4 days ago
- Business
- Business of Fashion
What I'm Looking Forward to at The Business of Beauty Global Forum 2025
When I returned back from maternity leave in March, I was ready to hit the ground running on planning The Business of Beauty Global Forum, now in its third year. This Global Forum brings together some of the most interesting, dynamic and inspirational leaders from across our industry, and creates space for thought-provoking, insightful and often arresting conversations that simply don't, and couldn't happen anywhere else but with BoF and The Business of Beauty. Over the years, we've heard from the likes of Pamela Anderson, John Legend and Deepak Chopra, and executives based in Australia, Kenya and Korea. We've explored themes from brand-building and M&A to longevity and identity. Last year, we also debuted The Business of Beauty Global Awards. This year, we've doubled the size of the Awards, with six winners set to receive honours on our closing night. Our speaker line-up is just as exciting as ever. We'll begin with a first look at our hotly anticipated second edition of The State of Fashion: Beauty report, produced in partnership with McKinsey & Company and tease out the themes, challenges and opportunities all leaders will grapple with in the next five years. From there, it's a tour around the world, with insights from the UK's Andy Lightfoot of Space NK and India's Anchit Nayar of Nykaa, before we host an illuminating panel on why the world is looking to Mexico as beauty's next frontier. We'll also hear from Melissa Butler, the inspirational founder of The Lip Bar, and explore the vital role that immigrants and refugees play in our thriving industry. On the second day, we'll step Inside The Industry, and look at how executives are finding growth in a cooling market. Founders like Point of View Beauty's Mikayla Nogueira will give us an influencer masterclass on brand building and we'll then hear from the inimitable Tracee Ellis Ross about her community-focussed line, Pattern. In our final segment, we'll explore the power of the beauty and wellness industry as a connecting thread. Content creator Sydney Towle will share her experiences of facing an online smear campaign while battling cancer; Yasmin Sewell of Vyrao will talk about reinvention. And Hailey Bieber, founder and creative director of Rhode, one of the world's buzziest beauty brands, will speak to us exclusively about her brand and exit journey. She will then be joined by Tarang Amin to discuss what's next for the viral skin and makeup line. I hope you can join us via the global livestream. Sign up here to reserve your space. This year, access to The Business of Beauty Global Forum livestream is open to all. To watch the livestream, simply log in to your BoF account. New to BoF? Create your free account here.
Yahoo
6 days ago
- Health
- Yahoo
Pattern Computer Announces Hepatocellular Carcinoma Pattern Identification and Model Creation Study
Study leveraged Pattern Discovery Engine™ to construct highly accurate model to predict whether or not a given cell is cancerous Identified nine genes that are crucial for prediction and may have other uses in diagnostics and/or therapeutics Highlights use of the Pattern Discovery Engine as a hypothesis discovery tool REDMOND, Wash., May 27, 2025 (GLOBE NEWSWIRE) -- Pattern Computer®, Inc. ('Pattern' or 'the Company'), the global leader in Pattern Discovery, today announced the submission for peer review of a study titled "Explainable Molecular Stratification and Co-regulation Pattern Identification in Hepatocellular Carcinoma Single Cell Transcriptomics Data." In this study the Company's Pattern Discovery Engine ™ (PDE), a suite of proprietary algorithms, was used to analyze a liver cancer dataset, build predictive models to differentiate Hepatocellular carcinoma (HCC) from normal liver tissues, and uncover differences in gene regulation between the cancer and non-cancer samples. The PDE constructed a highly accurate model (97% accuracy) to predict whether or not a given cell is cancerous. The Company noted that the PDE identified a small set of nine genes with fundamentally different regulatory structure in cancer cells versus normal, which is of importance as it. highlights the use of the PDE as a hypothesis discovery tool. Mark Anderson, Pattern Chair and CEO, commented, 'While the inner workings are proprietary, the hypotheses it delivers are every bit as explicit and understandable, or more so, as hypotheses generated by human intuition – which, of course, is often a black box we like to label 'inspiration' or 'insight.' This project demonstrates a new paradigm for scientific discovery: instead of beginning with a hypothesis, we begin with data – and discover hypotheses for testing, exploration, and yes, inspiration. We don't aim to replace human intuition, but to augment it with the power to discover patterns in data that yield hypotheses about patterns in the world at large.' The PDE suite of algorithms enables the summarization of relationships in ultra-high-dimensional datasets in simple, human-readable, symbolic equations. It can discover previously unknown patterns within large datasets, without making prior assumptions, performing feature engineering, or pruning data. These algorithms use the patterns they uncovered to build explainable predictive models – which constitute novel hypotheses. Liver cancer remains the third leading cause of cancer deaths, amounting to 7.8% of all cancer deaths. HCC is the major form of primary liver cancer, accounting for over 90% of the cases, with 5-year survival rate of only 18%. Given its asymptomatic nature in the early stages, most HCC patients are diagnosed at advanced stages and face poor prognosis with limited treatment options. Consequently, individual strategies based on identifying early potential prognostic biomarkers and novel therapeutic targets are urgently needed. These efforts can ultimately lead to more efficient and reliable diagnoses, personalized treatment strategies, and improved patient outcomes. From the publication: In this study, we utilized Pattern Computer, Inc.'s Pattern Discovery Engine ™ (PDE) to establish a robust analytical framework for single-cell gene expression data, specifically targeting hepatocellular carcinoma. While the workings of the engine are proprietary, the end result is composed of sets of equations that are interpretable and human-readable – and hence constitute testable hypotheses. Our analysis identified a panel of nine signature genes that consistently distinguish cancerous from healthy tissues across diverse cell types. Next, these signature genes were used to construct an XAI model with over 97% balanced accuracy in predicting cancer status at the single-cell level. Beyond predictive power, this model offers a symbolic predictive equation, providing interpretable insights into the regulatory relationships among the genes. Finally, we generated a directed gene-to-gene regulatory network, uncovering substantial disruptions in co-regulation within cancerous cells compared to the tightly coordinated regulatory dynamics observed in healthy cells. This regulatory shift underscores the molecular dysregulation underlying hepatocellular carcinoma. These findings extend beyond classification accuracy, shedding light on the disrupted regulatory landscapes of cancer cells. By linking gene expression patterns to functional insights, our approach highlights therapeutic targets and biomarkers, paving the way for intervention strategies in this challenging disease. Mr. Anderson added, 'Explainable Artificial Intelligence (XAI) is revolutionizing biological research by enabling precise discoveries with unmatched transparency and interpretability. Our commitment to pioneering solutions in the fight against cancer is unwavering, with each innovative milestone achieved bringing the Company closer to our overarching mission of improving outcomes for individuals affected by cancer. Leveraging our AI-enabled Pattern Discovery Engine, we have achieved significant progress in expanding the Company's industry-leading oncology pipeline against the top five cancers worldwide.' Mr. Anderson concluded, 'Pattern's advanced computational approaches push the boundaries of cancer treatment, and we are confident in our ability to make more such discoveries across various types of challenging cancers. As we work towards transforming cancer treatment paradigms, we are looking to partner with firms to bring our cancer drug discoveries and diagnostic advances against the world's top five cancers into clinical trials.' About PatternPattern Computer, Inc. uses its Pattern Discovery Engine™ to solve the most important and intractable problems in business and medicine. These proprietary mathematical techniques in advanced AI can find complex patterns in very-high-order data that have eluded detection by much larger systems. As the Company applies its computational platform to the challenging fields of drug discovery and diagnostics, it is also making major Pattern Discoveries for partners in other sectors, including extended biotech, materials science, aerospace manufacturing quality control, veterinary medicine, air traffic operations, and energy services. See CONTACT: Laura Guerrant-Oiye (808) 960-2642 – laura@ The foregoing contains statements about Pattern Computer's future that are not statements of historical fact. These statements are 'forward looking statements' for purposes of applicable securities laws and are based on current information and/or management's good faith belief as to future events. The words 'believe,' 'expect,' 'anticipate,' 'project,' 'should,' 'could,' 'will,' and similar expressions signify forward-looking statements. Forward-looking statements should not be read as a guarantee of future performance. By their nature, forward-looking statements involve inherent risk and uncertainties, which change over time, and actual performance could differ materially from that anticipated by any forward-looking statements. Pattern Computer undertakes no obligation to update or revise any forward-looking statement. Copyright © 2025 Pattern Computer Inc. All Rights Reserved. Pattern Computer, Inc., Pattern Discovery Engine, PatternBio, TrueXAI, and ProSpectral are trademarks of Pattern Computer Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners.
News.com.au
22-05-2025
- Business
- News.com.au
Gen Z Aussies fuelling rise in Chinese fashion company Shein: Report
Chinese fashion phenomenon Shein continues to rise in popularity across Australian online marketplaces and Gen Z shoppers are fuelling the boom. Some 26 per cent of online shoppers bought products from the brand in the past 12 months, a new report from ecommerce service provider Pattern shows, and the figure is expected to lift to 28 per cent in 2025. 'The platform attracts two million Australian shoppers aged 14 and over, with 76 per cent being repeat customers and 42 per cent making purchases four or more times a year,' the report, which drills into consumer behaviour across major online marketplaces, states. 'The majority of Shein's customers are female (78 per cent) and under 35, aligning with its core focus on women's clothing.' The report suggests the fast-fashion company's aggressive pricing strategy to attract cost-conscious shoppers was paying off. 'Despite concerns over trust, Shein continues to attract shoppers seeking low prices and a wide assortment with 70 per cent of Australians regularly using Chinese marketplaces due to value,' the report notes. 'With plans to file for a London initial public offering at a $$100bn valuation, Shein's aggressive growth and diversification strategies position it as a significant player in the Australian retail landscape for the future.' Roy Morgan estimates Shein attracted $1.1bn in annual sales for the year ending June 2024. The company is also moving to lift its 'brand engagement' by increasing physical activations such as showroom experiences. But while Shein is flying, Chinese online retail platform Temu could be slipping, the report said. Some 46 per cent of online shoppers bought products from Temu in the past 12 months, but the figure is expect to fall to 43 per cent in 2025. 'Shopper intentions for 2025 indicate that the rapid growth of Chinese marketplaces in Australia may be on the decline,' the report states. 'Temu is expected to see a reduction in shoppers, with 43 per cent of people planning to shop on the platform compared to 46 per cent in 2024. 'This trend could be attributed to a wave of shoppers who trialled the Chinese marketplaces in 2024 but experienced unsatisfactory shopping experiences.' US giant Amazon continues to dominate online marketplaces in Australia, though it is moving to fend off its Chinese challengers. Some 58 per cent of shoppers purchased products from the platform in the past 12 months and that number is expected to hit 63 per cent in 2025. 'To counter emerging competitors like Temu and Shein, Amazon has launched 'Haul', a low-cost storefront with price caps, aiming to match the appeal of discount platforms,' the report states. 'Despite perceptions of higher prices compared to Chinese marketplaces, Amazon maintains a strong reputation for fast delivery and quality, with 63 per cent of shoppers trusting the platform.' The value of Australia's ecommerce market is expected to reach $59bn in 2025 and then grow to $93bn by 2029. The data for the report comes from a poll of 1000 Australians, aged 14 and above.
Yahoo
22-05-2025
- Business
- Yahoo
Marketplace Battle Heats Up: Trust, Convenience and Choice Key as Pricing Pressures Grow
MELBOURNE, Australia, May 22, 2025 /PRNewswire/ -- An exclusive Australian study by global ecommerce accelerator, Pattern, has shown that product range, convenience, and trustworthiness will be critical battlegrounds for online marketplaces in 2025. With international tariffs reshaping marketplace business models, platforms like Temu and Shein, once known for ultra-cheap products, are now raising their prices. In some markets, the cost of goods such as health and beauty products has surged by 51%. "The days of marketplaces winning Australian consumers with ultra-cheap pricing alone are over. Although leading platforms like Amazon will continue to attract shoppers with competitive pricing, consumers are now making purchasing decisions based on factors like credibility, product variety and ease-of-shopping," said Merline McGregor, Managing Director for Pattern Australia. Convenience Drives Loyalty Australians are increasingly choosing marketplaces that offer greater convenience. Amazon continues to set the benchmark, with 57% of shoppers rating it as the most convenient platform for purchasing goods, driven by its streamlined ordering process, fast shipping options, and integrated returns experience. While Shein and Temu have experienced rapid growth in overall shopper awareness, their convenience ratings are significantly lower at 14% and 27%, respectively. This gap highlights a critical challenge for emerging platforms: while aggressive marketing and discounting can attract first-time buyers, delivering a seamless, reliable shopping experience is crucial to securing repeat business. "Convenience is more than just speed of delivery, it's about every touchpoint of the shopping experience, extending from intuitive search functions to reliable customer service and simple returns," said McGregor. "Australian brands selling on marketplaces that deliver frictionless shopping experiences are more likely to secure both the first purchase and increase their chances of building customer loyalty." Trustworthiness and Reliability Build Customer Relationships As price advantages decline, product quality and reliable return processes are key differentiators for marketplaces. Amazon leads in both areas, with 60% of Australian shoppers trusting it for product quality and 53% for reliable returns. eBay also performs strongly, earning trust from 42% of shoppers, while Kogan lags at 16% and MyDeal at just 9%. Chinese marketplaces, Temu and Shein face even greater challenges, with only 12% and 11% of consumers expressing confidence in the quality of the products they sell. "In an increasingly competitive and regulated environment, trust is not an aspiration. Marketplaces must consistently deliver quality products, backed by hassle-free returns to build enduring customer relationships," said McGregor. "We've seen a positive improvement in returns processes for all marketplaces, with only 3% of Australian consumers stating they do not trust any marketplace for reliable returns. This is a huge drop from 18% in 2024 and shows that all platforms are prioritising improving the customer experience in this critical area." Amazon, eBay and Temu Win with Product Variety Amazon is recognised by 60% of shoppers as having the widest variety of inventory in Australia across categories such as electronics, home & kitchen and sporting goods. eBay also retains a strong position, with 45% of consumers recognising its broad range, particularly in the second-hand and collectible markets. Only 32% of shoppers believe Temu offers the widest product range, yet the number of consumers visiting the platform for its vast product range has surged 87% since 2024. "A broad and evolving product range is proving key for marketplaces to retain and grow their shopper base. Consumers are moving towards platforms that offer a one-stop-shop experience, and marketplaces that can deliver this effectively across multiple categories have a clear competitive edge," concluded McGregor. For more information and to download the full report please click here: '2025 Marketplace Consumer Report' View original content to download multimedia: SOURCE Pattern 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
Yahoo
19-05-2025
- Business
- Yahoo
Pattern Computer Brings Autonomous Risk and Confidence Tools to XAI
• Next-generation risk-aware XAI for mission-critical applications • Advances trust and transparency in high-stakes decision making REDMOND, Wash., May 19, 2025 (GLOBE NEWSWIRE) -- Pattern Computer®, Inc. ('Pattern' or 'the Company'), the global leader in Pattern Discovery, today announced the addition of RC/XAI™ (Risk and Confidence Explainable AI), to its Pattern Discovery Engine™ (PDE). The immediate effect of this technical achievement will be to bring known and demonstrated confidence and risk values to decisions for customers using the company's new PatternDE™ online platform. Users in industries such as equity market trading are expected to be among the first to benefit from this unique capacity, adding new assurance on a per – trade basis. This release introduces advanced risk-aware model convergence, conformal prediction, and enhanced explainability, setting a new standard for trustworthy AI in mission-critical sectors such as finance, medical diagnostics, and industrial process optimization. These new features derive from additions to the Iceland™ PDE component. Innovative Features in Iceland/SR™ 3.0 Version 3.0 incorporates several groundbreaking enhancements, including the Janus-Delphi Loss Framework™, risk-aware and instance-level metrics, and a refined conformal gating regime. Key features include: Janus-Delphi Loss Framework – A new evolution of the Janus Loss system, integrating per-instance scalable overconfidence penalties and localized risk-sensitive metrics. This approach enhances posterior probability estimation, ensuring models are finely calibrated to their operating context. The Janus-Delphi framework supports critical domain requirements for informed-consent by decision makers relying on the models' predictions, including per-instance certainty scores and real-time risk stratification. Risk-Aware and Risk-Transparent Model Generation – Iceland/SR 3.0 introduces risk-aware symbolic regression, allowing models to self-calibrate through dynamically adjusted confidence metrics. Moreover, the symbolic models (mathematical equations interpretable directly) explicitly self-optimize during training to maximize the risk-surface they expose for analysis, allowing end-users informed consent when deciding whether or not to base decisions on their predictions. This transparency not only facilitates high-confidence predictions while minimizing overfitting, but also supports compliance with emerging regulatory frameworks such as the SEC's proposed AI risk management rules, the EU's AI Act, and other global standards aimed at increasing accountability in automated decision-making. Abstention Metrics for Risk and Confidence – Newly added abstention gating mechanisms provide instance-level coverage, decision gating scores, and confidence intervals, enabling precise quantification of model risk, lost opportunity expectations when gates are trusted, and predicted abstention rates in real-world deployments. This allows users to make data-driven decisions with quantifiable confidence. Information-Theoretic and Conformity Metrics – Expanded support for information-theoretic measures to optimize model complexity and interpretability, ensuring each prediction is grounded in academic and industry standard, statistically rigorous post hoc evaluation and selection for best generalization on as-yet-unseen data. Redefining Explainability in AI With its highly optimized multi-threaded architecture and robust symbolic inference capabilities, RC/XAI represents a significant move forward for organizations seeking both cutting-edge performance and transparent model behavior. Mark R. Anderson, Pattern Founding Chair and CEO, commented, "What started as comparatively simple equations-as-predictors in our earlier Gilford Island™ system has become a full decision-support trust architecture in Iceland/SR™. Explainable AI has reached a new frontier: one where it holds itself accountable. This is not merely about understanding a model's decision path but about calibrating it with enough precision to allow for truly informed consent in high-stakes environments. These are models that don't just tell you how they arrive at a decision, but also how self-confident they are in each specific instance. This is a breakthrough in a new mathematics of 'trust-aware AI.' Pattern has developed the new technology in conjunction with well-known Wall Street firms. Anderson added, "With this new technology, we're delivering more than just mathematical models—we're setting a new benchmark for transparency and trust in explainable AI. This isn't just about better algorithms, it's about empowering organizations to make informed decisions that answer to their risk tolerance policies. Our mission has always been to discover previously unavailable patterns in data, and with RC/XAI and this new version of PatternDE, we're now giving our customers and partners the clarity they need to act with confidence in even the most complex, high-stakes environments.' Availability Iceland/SR 3.0 and RC/XAI are now available in Pattern's PatternDE™ platform. About PatternPattern Computer, Inc. uses its Pattern Discovery Engine™ to solve the most important and intractable problems in business and medicine. These proprietary mathematical techniques in advanced AI can find complex patterns in very high-dimensional data that have eluded detection by much larger systems. As the Company applies its computational platform to the challenging fields of drug discovery and diagnostics, it is also making major Pattern Discoveries for partners in other sectors, including extended biotech, materials science, aerospace manufacturing quality control, veterinary medicine, air traffic operations, energy services, finance, market trading and more. See CONTACT: Laura Guerrant-Oiye (808) 960-2642 – laura@ The foregoing contains statements about Pattern Computer's future that are not statements of historical fact. These statements are 'forward looking statements' for purposes of applicable securities laws and are based on current information and/or management's good faith belief as to future events. The words 'believe,' 'expect,' 'anticipate,' 'project,' 'should,' 'could,' 'will,' and similar expressions signify forward-looking statements. Forward-looking statements should not be read as a guarantee of future performance. By their nature, forward-looking statements involve inherent risk and uncertainties, which change over time, and actual performance could differ materially from that anticipated by any forward-looking statements. Pattern Computer undertakes no obligation to update or revise any forward-looking statement. Copyright © 2025 Pattern Computer Inc. All Rights Reserved. Pattern Computer, Inc., Pattern Discovery Engine, PatternBio, TrueXAI, and ProSpectral are trademarks of Pattern Computer Inc. or its subsidiaries. Other trademarks may be trademarks of their respective 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
