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文章數：95 |
 永心鳳茶第一次來要點什麼？ 》台中公益路美食特輯｜10家真實體驗分享 |
| 心情隨筆｜其他 2025/11/25 03:15:19 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人，臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」，從精緻西餐到創意火鍋，從日式丼飯到義式早午餐，每走幾步，就會有完全不同的特色料理餐廳。 這次我特別花了一整個月，實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店，也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準，整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你，找到那一間「吃完會想再來」的餐廳。 評比標準與整理方向
這次我走訪的10家餐廳橫跨不同料理類型，從高質感牛排館到巷弄系早午餐，每一間都有自己獨特的風格。為了讓整體比較更客觀，我依照以下四大面向進行評比，並搭配實際用餐體驗來打分。
整體而言，我希望這份評比不只是「哪家好吃」，而是幫你在不同情境下（約會、家庭聚餐、朋友小聚、商業午餐）都能快速找到合適的選擇。畢竟，美食不只是味覺的滿足，更是一段段與朋友共享的生活記憶。 10間臺中公益路餐廳評比懶人包公益路向來是臺中人聚餐的首選地段，從火鍋、燒肉到中式料理與早午餐，每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單，橫跨平價、創意、高級各路風格。
一頭牛日式燒肉｜炭香濃郁的和牛饗宴，約會聚餐首選
走在公益路上，很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面，搭配昏黃燈光與暖色調的內裝，讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大，但桌距規劃得宜，每桌皆設有獨立排煙設備，烤肉時完全不怕滿身油煙味。 餐點特色
一頭牛的靈魂，絕對是他們招牌的「三國和牛拼盤」。 用餐體驗整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網，讓人完全不用分心。整場用餐過程就像一場表演，從視覺、嗅覺到味覺都被滿足。 綜合評分
地址：408臺中市南屯區公益路二段162號電話：04-23206800 官網：http://www.marihuana.com.tw/yakiniku/index.html 小結語一頭牛日式燒肉不僅是「吃肉的地方」，更像是一場五感盛宴。從進門那一刻到最後一道甜點，都能感受到他們對細節的用心。 TANG Zhan 湯棧｜文青系火鍋代表，麻香湯底與視覺美感並重
在公益路這條美食戰線上，TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。 餐點特色
湯棧最有名的當然是它的「麻香鍋」。 用餐體驗整體氛圍比一般火鍋店更有質感。 綜合評分
地址：408臺中市南屯區公益路二段248號電話：04-22580617 官網：https://www.facebook.com/TangZhan.tw/ 小結語TANG Zhan 湯棧 把傳統火鍋做出新的樣貌保留臺式鍋物的溫度，又結合現代風格與細節服務，讓吃鍋這件事變得更有品味。 如果你想找一間兼具「好吃、好拍、好放鬆」的火鍋店，湯棧會是公益路上最有風格的選擇之一。 NINI 尼尼臺中店｜明亮寬敞的義式早午餐天堂
如果說前兩間是肉食愛好者的天堂，那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主，陽光灑進室內，讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧，建議提早訂位。 餐點特色
NINI 的菜單融合義式與臺灣人口味，選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口，米芯保留微Q口感；而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香，口感層次豐富。 用餐體驗店內氣氛輕鬆不拘謹，無論是一個人帶電腦工作、或朋友聚餐，都能找到舒服角落。餐點上桌速度穩定，服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」，很適合想遠離忙碌日常的人。 綜合評分
地址：40861臺中市南屯區公益路二段18號電話：04-23288498 小結語NINI 尼尼臺中店是一間能讓人放下手機、慢慢吃飯的餐廳。餐點不追求浮誇，而是以「剛剛好」的份量與風味，陪伴每個平凡午後。如果你在找一間能邊吃邊聊天、拍照也漂亮的早午餐店，NINI 會是你在公益路上最不費力的幸福選擇。 加分100%浜中特選昆布鍋物｜平價卻用心的湯頭系火鍋，家庭聚餐好選擇
在公益路這條高質感餐廳林立的戰場上，加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐，但靠著實在的湯頭與親切的服務，默默吸引許多回頭客。每到用餐時間，總能看到家庭或情侶三兩成群地圍著鍋邊聊天。 餐點特色
主打 北海道浜中昆布湯底，湯頭清澈卻不單薄，越煮越能喝出海藻與柴魚的自然香氣。 用餐體驗整體氛圍偏家庭取向，桌距寬敞、座位舒適，帶小孩來也不覺擁擠。店員態度親切，補湯、收盤都很勤快，給人一種「被照顧著」的安心感。 綜合評分
地址：403臺中市西區公益路288號電話：0910855180 小結語加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤，而是用最簡單的湯頭與新鮮食材，傳遞出家常卻不平凡的溫度。 印月餐廳｜中式料理的藝術演繹，宴客與家庭聚會首選
說到臺中公益路的中式料理代表，印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名，把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設，每個細節都散發著低調的典雅氣息。 餐點特色
印月最令人印象深刻的是他們將傳統中菜融入創意手法。 用餐體驗服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏，都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法，讓人感受到「被款待」的尊榮感。 綜合評分
地址：408臺中市南屯區公益路二段818號電話：0422511155 小結語印月餐廳是一間「不只吃飯，更像品味生活」的地方。 KoDō 和牛燒肉｜極致職人精神，專為儀式感與頂級味覺而生
若要形容 KoDō 和牛燒肉 的用餐體驗，一句話足以總結——「像在欣賞一場關於肉的表演」。 餐點特色
這裡主打 日本A5和牛冷藏肉，以「精切厚燒」的方式呈現。 用餐體驗KoDō 的最大特色是「儀式感」。 綜合評分
地址：403臺中市西區公益路260號電話：0423220312 官網：https://www.facebook.com/kodo2018/ 小結語KoDō 和牛燒肉不是日常餐廳，而是一場體驗。 永心鳳茶｜在茶香裡用餐的優雅時光，臺味早午餐的新詮釋
走進 永心鳳茶公益店，彷彿進入一間有氣質的茶館。 餐點特色
永心鳳茶的餐點結合中式靈魂與西式擺盤，無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」，都能讓人感受到熟悉卻不平凡的味道。 用餐體驗店內服務人員態度溫和，對茶品介紹詳盡。上餐節奏剛好，不急不徐。 綜合評分
地址：40360臺中市西區公益路68號三樓(勤美誠品)電話：0423221118 小結語永心鳳茶讓人重新定義「臺味」。 三希樓｜老饕級江浙功夫菜，穩重又帶人情味的中式饗宴
位於公益路上的 三希樓 是許多臺中老饕的口袋名單。 餐點特色
三希樓的菜色以 江浙與港式料理 為主，兼顧傳統與現代風味。 用餐體驗三希樓的服務給人一種老派但貼心的感覺。 綜合評分
地址：408臺中市南屯區公益路二段95號電話：0423202322 官網：https://www.sanxilou.com.tw/ 小結語三希樓是一間「吃得出功夫」的餐廳。 一笈壽司｜低調奢華的無菜單日料，職人手藝詮釋旬味極致
在熱鬧的公益路上，一笈壽司 低調得幾乎不顯眼。 餐點特色
一笈壽司採 Omakase（無菜單料理） 形式，每一餐都由主廚根據當日食材設計。 用餐體驗整場用餐約90分鐘，節奏緩慢但沉穩。 綜合評分
地址：408臺中市南屯區公益路二段25號電話：0423206368 官網：https://www.facebook.com/YIJI.sushi/ 小結語一笈壽司是一間真正讓人「放慢呼吸」的餐廳。 茶六燒肉堂｜人氣爆棚的和牛燒肉聖地，肉香與幸福感同時滿分
若要票選公益路上「最難訂位」的餐廳，茶六燒肉堂 絕對名列前茅。 餐點特色
茶六主打 和牛燒肉套餐，價格約落在 $700–$1000 間，份量與品質兼具。 用餐體驗茶六的服務效率相當高。店員親切、換網勤快、補水速度快，整場用餐流程流暢無壓力。 綜合評分
地址：403臺中市西區公益路268號電話：0423281167 官網：https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA 小結語茶六燒肉堂用「穩定品質＋輕奢氛圍」抓住了臺中年輕族群的心。 吃完10家公益路餐廳後的心得與結語吃完這十家餐廳後，臺中公益路不只是一條美食街，而是一段生活風景線。 有的餐廳講究細膩與儀式感，像 一頭牛日式燒肉 與 一笈壽司，讓人感受到食材最純粹的美好 有的則以親切與溫度打動人心，像 加分昆布鍋物、永心鳳茶，讓人明白吃飯不只是為了飽足，而是一種被照顧的幸福。 而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店，則用穩定的品質與熱絡的氛圍，成為許多臺中人心中「想吃肉就去那裡」的代名詞。 這十家店，構成了公益路最動人的縮影 有華麗的，也有溫柔的；有傳統的，也有創新的。 每一家都在自己的風格裡發光，讓人吃到的不只是料理，而是一種生活的溫度與節奏。 對我而言，這不僅是一場美食旅程，更是一趟關於「臺中味道」的回憶之旅。 FAQ：關於臺中公益路美食常見問題Q1：公益路哪一區的餐廳最集中？ Q2：需要提前訂位嗎？ 最後的話若要用一句話形容這趟美食之旅，我會說： 三希樓適合聚餐嗎？ 如果你也和我一樣喜歡用味蕾探索一座城市，那就把這篇公益路美食攻略收藏起來吧。TANG Zhan 湯棧CP 值高嗎？ 無論是約會、慶生、家庭聚餐，或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。一笈壽司大型聚餐空間夠不夠？ 下一餐，不妨從這10家開始。一笈壽司價位會不會太高？ 打開手機、約上朋友，讓公益路成為你生活裡最容易抵達的小確幸。一笈壽司適合多人分享嗎？ 如果你有私心愛店，也歡迎留言分享，永心鳳茶尾牙氣氛熱鬧嗎？ 你的推薦，可能讓我下一趟美食旅程變得更精彩。茶六燒肉堂平日好排隊嗎？ Unlocking the secrets of neuronal function: a universal workflow. Blue Brain has introducesd a universal workflow using evolutionary algorithms to create accurate neuronal models. This approach simplifies model creation, produces canonical models representing entire neuronal types, and paves the way for future refinements. Credit: © Blue Brain Project / EPFL The Blue Brain Project introduces a universal workflow for creating and validating neuronal models using open-source tools. Biophysically detailed neuronal models provide a unique window into the workings of individual neurons. They enable researchers to manipulate neuronal properties systematically and reversibly, something that is often impossible in real-world experiments. These in silico models have played a pivotal role in advancing our understanding of how neuronal morphology influences excitability and how specific ion currents contribute to cell function. Additionally, they have been instrumental in building neuronal circuits to simulate and study brain activity, offering a glimpse into the complex dance of neurons that underlies our thoughts and actions. Challenges in Model Creation Creating accurate electrical models that faithfully replicate experimental observations is no easy feat. It involves quantifying the similarity between model responses and actual electrophysiological behaviors, which can be challenging when parameters like ion channel conductance and passive membrane properties are not directly measurable. Achieving a high similarity score often requires extensive exploration of parameter space, a task that can be arduous and time-consuming. Evolutionary Algorithms to the Rescue To address these challenges, researchers have turned to evolutionary algorithms (EAs) for help. EAs are efficient tools for global parameter optimization in high-dimensional spaces. In particular, the indicator-based evolutionary algorithm (IBEA) has shown promise in this context. However, the field still lacks fully open-sourced and reproducible workflows for model optimization. Blue Brain’s Universal Workflow In this new study, appearing on the cover of November’s Patterns, Blue Brain presents a groundbreaking universal workflow for creating, validating, and generalizing detailed neuronal models. The approach is built upon open-source tools, with all the steps freely available, and offers researchers a comprehensive solution for constructing neuronal models that can represent either a single biological cell or a predefined type of cells. Canonical Neuronal Models One of the unique features of the workflow is the ability to build so-called canonical neuronal models. “Rather than customizing each model for individual neurons, models that represent an entire neuronal type are created,” explains Werner Van Geit, group leader at BBP. “This approach is particularly useful when studying properties of a specific neuronal type and when constructing large neuronal circuits.” Application of the Workflow In this study, the authors applied the workflow to create 40 models representing 11 electrical types (e-types) in the juvenile rat somatosensory cortex, the region of the brain’s cortex responsible for processing sensory information related to touch, pressure, temperature, and pain from various parts of the body. Each model was optimized based on a set of electrophysiological features, ensuring a close match with experimental data. These canonical models were then tested on various morphologies to assess their generalizability. By analyzing the parameters used in these models, scientists gain insights into their biophysical properties. “Sensitivity analysis helps reveal which parameters are crucial for model performance and which can vary without affecting the outcome” emphasizes co-lead author Christian Rössert, adding “This deeper understanding is a significant aid in refining model creation.” Limitations and Future Directions Although this approach is powerful, the authors point to some current limitations. Certain neuron types generalize well across various shapes, while others struggle. Understanding why certain models work better with specific morphologies is an ongoing area of research. In addition, creating a single canonical model means dismissing some of the variability seen in real neurons. To address this, neuroscientists can create multiple models based on the same input, introducing variation to represent real-world diversity. “The set of e-models presented here are based on electrical measurement from patch-clamp recordings of the main body of neurons,” specifies co-lead author Maria Reva, “in future versions, these models can be enriched with more details, such as synaptic and dendritic integration and additional ion currents.” “These enhancements will bring us even closer to understanding how neurons function,” concludes Van Geit. Reference: “A universal workflow for creation, validation, and generalization of detailed neuronal models” by Maria Reva, Christian Rössert, Alexis Arnaudon, Tanguy Damart, Darshan Mandge, Anıl Tuncel, Srikanth Ramaswamy, Henry Markram and Werner Van Geit, 4 October 2023, Patterns. DOI: 10.1016/j.patter.2023.100855 This study was supported by funding to the Blue Brain Project, a research center of the École Polytechnique Fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology. When the orchid Oreorchis patens happens to grow close to rotten wood, it shifts its fungal symbionts to those that decompose the wood and significantly increases the amount of nutrients it takes from them — without ceasing to employ photosynthesis. As a result, the plants are bigger and produce more flowers. Credit: Shun Ansai adapted from The Plant Journal 2005 (DOI: 10.1111/tpj.70045) Some orchids have evolved a unique parasitic lifestyle, abandoning full reliance on photosynthesis in favor of extracting nutrients from fungi. Oreorchis patens serves as a fascinating case, capable of both photosynthesis and fungal parasitism. Researchers discovered that when these orchids grow near decaying wood, they shift to fungi that decompose the wood, boosting their size and reproductive success. However, only a small percentage of orchids can take advantage of this, as it depends on specific environmental conditions. This research sheds light on the complex and opportunistic survival strategies of orchids, hinting at deeper ecological mysteries. Mysterious Orchid-Fungus Symbiosis Most orchids form a symbiotic relationship with fungi in their roots, exchanging sugars produced through photosynthesis for essential water and minerals. However, some orchids have abandoned photosynthesis altogether, relying entirely on fungi for their nutrients. Botanist Kenji Suetsugu of Kobe University has long been fascinated by this phenomenon, “I’ve always been intrigued by how orchids turn parasitic. Why would a plant give up its reliance on photosynthesis and instead ‘steal’ from fungi?” The orchid Oreorchis patens provides a unique opportunity to explore this question. As a partial parasite, it can photosynthesize but also supplements its nutrition by drawing up to half of its nutrients from fungi. Scientists have been investigating whether this parasitism simply compensates for nutritional gaps or if it offers additional advantages. Suetsugu explains, “I noticed that Oreorchis patens sometimes grows unusual coral-shaped rootstalks, a trait reminiscent of orchids fully relying on fungi. I thought that this would allow me to compare plants with these organs to those with normal roots, quantify how much extra nutrients they might be gaining, and determine whether that extra translates into enhanced growth or reproductive success.” Rotten Wood and a Surprising Nutrient Boost In a paper published today (February 19) in The Plant Journal, the Kobe University team shows that when the orchid happens to grow close to rotten wood, it shifts its fungal symbionts to those that decompose the wood and significantly increases the amount of nutrients it takes from them — without ceasing to employ photosynthesis. As a result, the plants are bigger and produce more flowers. “In short, these orchids aren’t merely substituting for diminished photosynthesis, they’re boosting their overall nutrient budget. This clear, adaptive link between fungal parasitism and improved plant vigor is, to me, the most thrilling aspect of our discovery, as it provides a concrete ecological explanation for why a photosynthetic plant might choose this path,” says Suetsugu. Kobe University botanist Kenji Suetsugu explains: “I noticed that Oreorchis patens sometimes grows unusual coral-shaped rootstalks, a trait reminiscent of orchids fully relying on fungi. I thought that this would allow me to compare plants with these organs (left) to those with normal roots (right), quantify how much extra nutrients they might be gaining, and determine whether that extra translates into enhanced growth or reproductive success.” (The scale bar is 10 cm long.) Credit: Kenji Suetsugu, adapted from The Plant Journal 2005 (DOI: 10.1111/tpj.70045) Why Don’t More Orchids Do This? But then, why do only less than 10% of these orchids exhibit this behavior? The answer might be found in the fact that the researchers could only see parasitic individuals near fallen and rotting tree trunks. Becoming a parasite means that the orchids need to switch from their usual symbionts to different fungi that can handle the increased nutritional load. But appropriate fungi only occur when there is fallen wood and only in certain stages of the decomposition process. In other words, the orchids become parasitic only when they can, not whenever they need to, and this opportunity does not present itself often. Unanswered Questions and Future Research Many questions are still left open, such as what triggers the orchids to develop the coral-like rootstalks and whether environmental factors influence the amount of nutrients the plants take from the fungi. Suetsugu explains his wider outlook: “This work is part of a broader effort to unravel the continuum from photosynthesis to complete parasitism. Ultimately, I hope such discoveries will deepen our understanding of the diverse strategies orchids employ to balance different lifestyles, thereby aiding in the preservation of the incredible diversity of these plants in our forests.” Reference: “Subterranean morphology underpins the degree of mycoheterotrophy, mycorrhizal associations, and plant vigor in a green orchid Oreorchis patens” by Kenji Suetsugu and Hidehito Okada, 19 February 2025, The Plant Journal. DOI: 10.1111/tpj.70045 This research was funded by the Japan Society for the Promotion of Science (grant 17H05016), the Japan Science and Technology Agency (grant JPMJPR21D6) and the Research Institute for Humanity and Nature. Research from the Garvan Institute of Medical Research indicates that non-coding DNA, which comprises 98% of our genome and was previously considered “junk,” may play a crucial role in cancer diagnosis and treatment. The study found mutations in these regions that are linked to 12 different cancer types. These mutations occur in binding sites for the CTCF protein, which are vital for maintaining the genome’s 3D structure. Disruptions in these sites may contribute to cancer development. The findings suggest a potential universal approach to cancer treatment that targets these common mutations across various cancers. Researchers at the Garvan Institute have utilized artificial intelligence to identify potential cancer-causing elements within the ‘junk’ regions of DNA, paving the way for innovative methods in diagnosis and treatment. According to a new study from the Garvan Institute of Medical Research, non-coding DNA—which makes up 98% of our genome and does not contain instructions for making proteins—may hold the key to new cancer diagnostics and treatments. The findings, published in the journal Nucleic Acids Research, reveal mutations in previously overlooked regions of the genome that may contribute to the formation and progression of at least 12 different cancers, including prostate, breast, and colorectal cancer. The discovery could lead to early diagnosis and new treatments effective for many cancer types. “Non-coding DNA was once dismissed as ‘junk DNA’ due to its apparent lack of function,” says Dr Amanda Khoury, Research Officer at Garvan and co-corresponding author of the study. “Our research has found mutations in these DNA regions that could open an entirely new, universal approach to cancer treatment.” Visualized DNA damage (green) in human breast cancer cells (blue). Credit: Garvan Institute Investigating DNA ‘anchors’ disrupted in cancer The researchers focused on mutations affecting binding sites for a protein called CTCF, which helps fold long strands of DNA into specific shapes. In their previous work, they found that these binding sites bring distant parts of the DNA close together, forming 3D structures that control which genes are turned on or off. “We had already identified a subset of CTCF binding sites that are ‘persistent’ – that is they act like anchors in the genome, present across different cell types,” says Dr Khoury. “We hypothesized that if these anchors become faulty, it could disrupt the normal 3D organization of the genome and contribute to cancer.” To test this, the researchers developed a new sophisticated machine learning (AI) tool called CTCF-INSITE, which used genomic and epigenomic features to predict which CTCF sites are likely to be persistent anchors in a total of 12 cancer types. They then assessed more than 3000 tumor samples from patients diagnosed with the 12 cancer types, available from the International Genome Consortium database, and found the persistent anchors were rich with mutations. Dr Amanda Khoury and Professor Susan Clark at the Garvan Institute of Medical Research in Sydney, Australia. Credit: Garvan Institute “Using our machine learning tool, we identified persistent CTCF binding sites in 12 different cancer types,” says Dr Wenhan Chen, first author of the study. “Remarkably, we found that every cancer sample had at least one mutation in a persistent CTCF binding site.” “This research confirmed that persistent CTCF binding sites are ‘mutational hotspots’ in cancers. We think these mutations give cancer cells a survival advantage, allowing them to proliferate and spread,” adds Dr Khoury. Toward a universal cancer treatment approach The findings could have broad implications for understanding and treating many types of cancer. “Most new cancer treatments have to be carefully targeted to specific mutations not always common amongst different tumor types, but because these CTCF anchors are mutated across multiple different cancer types, we’re opening up the possibility of developing approaches that could be effective for multiple cancers,” says Professor Susan Clark, Head of the Cancer Epigenetics Lab at Garvan and lead author of the study. The researchers are now planning further large-scale experiments using CRISPR gene editing to investigate how these anchor mutations disrupt the 3D genome and potentially promote cancer growth. “Now that we’ve discovered what we believe to be critical anchors of the genome and shown they are important to maintaining homeostasis of the genome architecture, it makes sense that these non-coding DNA mutations would disrupt this homeostasis in the cancer cell – a hypothesis we will test when we edit them out,” says Professor Clark. “Observing the downstream impact, we hope to identify key genes or gene pathways that are affected by the mutations, which could serve as markers for early cancer detection or targets for new treatments.” “Finding these clues that were hidden in a vast amount of data is a powerful example of how artificial intelligence is boosting medical research,” she says. “This is a whole new frontier in the study of cancer, and we’re excited to explore it further.” Reference: “Machine learning enables pan-cancer identification of mutational hotspots at persistent CTCF binding sites” by Wenhan Chen, Yi C Zeng, Joanna Achinger-Kawecka, Elyssa Campbell, Alicia K Jones, Alastair G Stewart, Amanda Khoury and Susan J Clark, 2 July 2024, Nucleic Acids Research. DOI: 10.1093/nar/gkae530 This research was supported by a National Health and Medical Research Council Ideas grant and Investigator grant funding. RRG455KLJIEVEWWF 三希樓會太油嗎？ 》台中公益路隱藏美食推薦｜10家真實體驗分享KoDō 和牛燒肉適合聚餐嗎？ 》台中公益路餐廳排行榜｜10家熱門店家解析一笈壽司價格合理嗎？ 》台中公益路食記攻略｜10家餐廳評分&推薦 |
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