[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-google-research-drops-medgemma-1-5-a-major-leap-in-open-medical-multimodal-ai-paired-with-breakthrough-medasr-speech-recognition":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":97,"popular_news":164,"categories":235},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":69,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"Google Research Drops MedGemma 1.5: A Major Leap in Open Medical Multimodal AI, Paired with Breakthrough MedASR Speech Recognition","Google Research unveiled MedGemma 1.5 — the latest evolution of its open-source medical AI family under the Health AI Developer Foundations (HAI-DEF) program","Google Research unveiled MedGemma 1.5 — the latest evolution of its open-source medical AI family under the Health AI Developer Foundations (HAI-DEF) program","Model cards, weights, and notebooks await on Hugging Face and Google Cloud. The next wave of healthcare AI just got a powerful, accessible upgrade.","\u003Cp>On January 13, 2026, Google Research unveiled \u003Cstrong>MedGemma 1.5\u003C/strong>&nbsp;&mdash; the latest evolution of its open-source medical AI family under the Health AI Developer Foundations (HAI-DEF) program.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/photo_2026-01-15_17-02-37.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Research Drops MedGemma 1.5: A Major Leap in Open Medical Multimodal AI, Paired with Breakthrough MedASR Speech Recognition\" class=\"image-align-left\" height=\"200\" src=\"https://cdn.quasa.io/photos/00/photo_2026-01-15_17-02-37.jpg\" width=\"350\" />\u003C/picture> Built on the lightweight Gemma architecture, this 4B-parameter multimodal model significantly expands capabilities in high-dimensional medical imaging while delivering substantial gains in text-based clinical reasoning. Released alongside it is \u003Cstrong>MedASR\u003C/strong>, a specialized open automated speech recognition (ASR) model tuned for medical dictation, slashing transcription errors in healthcare workflows.\u003C/p>\n\n\u003Cp>These updates arrive as healthcare continues adopting generative AI at roughly twice the rate of the broader economy, driven by the need for reliable tools that handle complex, domain-specific data like 3D scans, pathology slides, electronic health records (EHRs), and spoken clinical notes.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>MedGemma 1.5: From 2D to Full 3D Medical Vision + Stronger Text Reasoning\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171808219.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Research Drops MedGemma 1.5: A Major Leap in Open Medical Multimodal AI, Paired with Breakthrough MedASR Speech Recognition\" class=\"image-align-right\" height=\"343\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171808219.jpg\" width=\"230\" />\u003C/picture>MedGemma 1.5 builds directly on the original MedGemma collection (released in 2025), which already supported 2D radiology (chest X-rays), dermatology, fundus photography, and histopathology patches.\u003C/p>\n\n\u003Cp>\u003Cstrong>The 1.5 update introduces native support for:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>High-dimensional 3D imaging\u003C/strong>: Full volumetric interpretation of CT scans and MRI series, allowing developers to feed multiple slices together with prompts for holistic analysis (e.g., detecting correlations across lung nodules or brain lesions that single-slice views might miss).\u003C/li>\n\t\u003Cli>\u003Cstrong>Whole-slide histopathology imaging (WSI)\u003C/strong>: Simultaneous processing of multiple patches from gigapixel digital slides, enabling context-aware pathology report generation or tumor grading.\u003C/li>\n\t\u003Cli>\u003Cstrong>Longitudinal radiology\u003C/strong>: Improved handling of time-series chest X-rays (e.g., comparing prior and current studies for progression tracking).\u003C/li>\n\t\u003Cli>\u003Cstrong>Anatomical localization &amp; structured extraction\u003C/strong>: Better bounding-box style localization in images and structured data pulling from unstructured lab reports.\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171557608.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Research Drops MedGemma 1.5: A Major Leap in Open Medical Multimodal AI, Paired with Breakthrough MedASR Speech Recognition\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171557608.jpg\" width=\"300\" />\u003C/picture>\u003Cstrong>Internal benchmarks show impressive lifts over MedGemma 1 (4B variant):\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Disease-related findings classification on CT volumes: +3% absolute accuracy (61% vs. 58%).\u003C/li>\n\t\u003Cli>Disease-related findings on MRI: +14% absolute (65% vs. 51%).\u003C/li>\n\t\u003Cli>Histopathology report fidelity (ROUGE-L on single-slide cases): massive jump from 0.02 to 0.49 &mdash; matching performance of specialized models like PolyPath.\u003C/li>\n\t\u003Cli>Chest X-ray anatomical localization (Chest ImaGenome IoU): from 3% to 38% (+35 percentage points).\u003C/li>\n\t\u003Cli>Longitudinal chest X-ray comparison (MS-CXR-T macro-accuracy): +5% (66% vs. 61%).\u003C/li>\n\t\u003Cli>Average accuracy across internal single-image benchmarks (radiology, derm, histo, ophtho): +3% (62% vs. 59%).\u003C/li>\n\t\u003Cli>Lab report information extraction (F1): +18% (78% vs. 60%).\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cstrong>On the text side, MedGemma 1.5 strengthens core medical reasoning:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>MedQA (USMLE-style multiple-choice): +5% (69% vs. 64%).\u003C/li>\n\t\u003Cli>EHRQA (question answering over electronic health records): +22% (90% vs. 68%).\u003C/li>\n\u003C/ul>\n\n\u003Cp>The 4B size remains compute-efficient &mdash; suitable for offline/local deployment on modest hardware &mdash; while developers can still leverage the larger MedGemma 1 27B for heavy text-only tasks. Full DICOM support is now integrated into Google Cloud Vertex AI deployments, simplifying hospital workflow integration.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>MedASR: Medical-Grade Speech-to-Text That Actually Understands Doctors\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171600726.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Research Drops MedGemma 1.5: A Major Leap in Open Medical Multimodal AI, Paired with Breakthrough MedASR Speech Recognition\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171600726.jpg\" width=\"300\" />\u003C/picture>Complementing the vision upgrades is **MedASR**, a Conformer-based open ASR model (&asymp;105M parameters) fine-tuned on diverse de-identified medical speech data. It targets dictation-heavy scenarios: radiology reports, operative notes, patient consultations, and physician dictations.\u003C/p>\n\n\u003Cp>\u003Cstrong>Compared to general-purpose models like OpenAI&#39;s Whisper large-v3:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>Chest X-ray dictation word error rate (WER): 5.2% vs. 12.5% &rarr; \u003Cstrong>58% fewer errors\u003C/strong>.\u003C/li>\n\t\u003Cli>Broad internal medical dictation benchmark (multiple specialties, accents, noisy environments): 5.2% vs. 28.2% WER &rarr; \u003Cstrong>82% fewer errors\u003C/strong>.\u003C/li>\n\u003C/ul>\n\n\u003Cp>This dramatic reduction in hallucinations around drug names, anatomical terms, abbreviations, and proper nouns makes MedASR viable for production transcription pipelines. Outputs can feed directly into MedGemma for end-to-end workflows: dictate a finding &rarr; transcribe accurately &rarr; query the image model for interpretation or report generation.\u003C/p>\n\n\u003Cp>Both models are released under permissive licenses for research and commercial use, available on Hugging Face (MedGemma 1.5 4B, MedASR) and Vertex AI. Google also launched tutorial notebooks for CT volume processing, whole-slide histopathology, and integration examples, plus a $100,000 Kaggle challenge to spur community fine-tuning and applications.\u003C/p>\n\n\u003Cp>\u003Cstrong>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-ai-coding-surge-redefining-productivity-organizations-and-the-future-of-work\">The AI Coding Surge: Redefining Productivity, Organizations, and the Future of Work\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-simplest-ai-prompt-hack-repeat-yourself-for-smarter-responses\">The Simplest AI Prompt Hack: Repeat Yourself for Smarter Responses\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/crowded-skies-starlink-s-orbital-shift-to-ease-satellite-congestion\">Crowded Skies: Starlink&#39;s Orbital Shift to Ease Satellite Congestion\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/cinemas-roll-out-jaws-popcorn-bucket-as-spielberg-s-classic-turns-50\">Cinemas Roll Out &quot;Jaws&quot; Popcorn Bucket as Spielberg&rsquo;s Classic Turns 50\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why This Matters: Democratizing Advanced Medical AI\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171808990.webp\" type=\"image/webp\">\u003Cimg alt=\"Google Research Drops MedGemma 1.5: A Major Leap in Open Medical Multimodal AI, Paired with Breakthrough MedASR Speech Recognition\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-15t171808990.jpg\" width=\"300\" />\u003C/picture>MedGemma 1.5 marks the first open multimodal LLM capable of natively handling 3D CT/MRI volumes and gigapixel pathology slides without proprietary restrictions &mdash; a capability previously locked behind closed systems or massive compute budgets.\u003C/p>\n\n\u003Cp>Paired with MedASR&#39;s near-clinical transcription accuracy, the duo enables seamless &quot;see-listen-reason&quot; pipelines that mirror real clinician cognition.\u003C/p>\n\n\u003Cp>\u003Cstrong>Early real-world traction already exists\u003C/strong>: Malaysia&#39;s Ministry of Health uses a MedGemma-powered askCPG tool for navigating 150+ clinical guidelines, while Taiwan&#39;s National Health Insurance analyzed 30,000+ pathology reports for lung cancer surgical planning.\u003C/p>\n\n\u003Cp>Developers are encouraged to validate, fine-tune, and rigorously test adaptations before clinical deployment &mdash; as with all foundation models in healthcare.\u003C/p>\n\n\u003Cp>But with weights, code, and documentation fully open, MedGemma 1.5 + MedASR lower the barrier dramatically for building reliable, multimodal medical AI tools at scale.\u003C/p>\n\n\u003Cp>\u003Cstrong>Explore the release here\u003C/strong>:\u003Cbr />\n\u003Ca href=\"https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/\">https://research.google/blog/next-generation-medical-image-interpretation-with-medgemma-15-and-medical-speech-to-text-with-medasr/\u003C/a>\u003C/p>\n\n\u003Cp>Model cards, weights, and notebooks await on Hugging Face and Google Cloud. The next wave of healthcare AI just got a powerful, accessible upgrade.\u003C/p>","google-research-drops-medgemma-1-5-a-major-leap-in-open-medical-multimodal-ai-paired-with-breakthrough-medasr-speech-recognition","2026-01-15T16:21:13.000000Z","2026-01-25T06:08:00.000000Z","25.01.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/TLjr23sqXaJbtJe9b6Qf2TWC5XoKI48fl1Fwlmi6.jpg","https://cdn.quasa.io/images/news/TLjr23sqXaJbtJe9b6Qf2TWC5XoKI48fl1Fwlmi6.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/TLjr23sqXaJbtJe9b6Qf2TWC5XoKI48fl1Fwlmi6.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/TLjr23sqXaJbtJe9b6Qf2TWC5XoKI48fl1Fwlmi6.webp","small",null,2546,0,"en",{"id":69,"title":65,"slug":66,"meta_title":92,"meta_description":93,"meta_keywords":94,"deleted_at":87,"created_at":95,"updated_at":96,"lang":90},"Business Growth Hacks: AI Startups, Solo Ventures & Strategy | QUASA","Business is a battlefield. In QUASA MEDIA you will find all the most useful articles on how to do business and not screw up.","Business, earn money, business strategy, business process","2021-08-03T10:59:17.000000Z","2026-04-22T15:18:15.000000Z",[98,113,126,138,151],{"title":99,"description":100,"slug":101,"created_at":102,"publish_at":103,"formatted_created_at":104,"category":105,"links":106,"view_type":86,"video_url":87,"views":111,"likes":89,"lang":90,"comments_count":89,"is_pinned":112},"Death Tech in China: Family Creates AI Clone of Deceased Son to Protect Elderly Mother with Heart Condition","In a poignant and increasingly common example of “death tech” in China, a family has turned to artificial intelligence to shield an 80-year-old woman from the devastating news of her only son’s death.","death-tech-in-china-family-creates-ai-clone-of-deceased-son-to-protect-elderly-mother-with-heart-condition","2026-04-22T08:14:27.000000Z","2026-04-25T11:07:00.000000Z","25.04.2026",{"title":43,"slug":44},{"image":107,"image_webp":108,"thumb":109,"thumb_webp":110},"https://cdn.quasa.io/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.jpg","https://cdn.quasa.io/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.webp",47,false,{"title":114,"description":115,"slug":116,"created_at":117,"publish_at":118,"formatted_created_at":104,"category":119,"links":120,"view_type":86,"video_url":87,"views":125,"likes":89,"lang":90,"comments_count":89,"is_pinned":112},"The $500,000 Corporate Retreat from Hell: Plex’s Survivor Trip in Honduras Nearly Killed the Team","The $500,000 Corporate Retreat from Hell: How Plex’s “Survivor”-Themed Trip in Honduras Nearly Killed the Team (But Actually Bonded Them Forever)","the-500-000-corporate-retreat-from-hell-plex-s-survivor-trip-in-honduras-nearly-killed-the-team","2026-04-22T08:03:20.000000Z","2026-04-25T09:52:00.000000Z",{"title":27,"slug":28},{"image":121,"image_webp":122,"thumb":123,"thumb_webp":124},"https://cdn.quasa.io/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.jpg","https://cdn.quasa.io/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.webp",52,{"title":127,"description":128,"slug":129,"created_at":130,"publish_at":130,"formatted_created_at":104,"category":131,"links":132,"view_type":86,"video_url":87,"views":137,"likes":89,"lang":90,"comments_count":89,"is_pinned":112},"Inside the Solana Trading Bot Arms Race: Who Wins When Everyone Has the Same Speed?","There is a war happening on Solana right now, and most people watching the charts have no idea how it works. Every time a new memecoin launches on Pump.fun or liquidity gets added to a Raydium pool, dozens of automated bots compete to be the first buyer. The winner gets in at the lowest price. Everyone else pays more — sometimes dramatically more. The entire battle unfolds in under two seconds.","inside-the-solana-trading-bot-arms-race-who-wins-when-everyone-has-the-same-speed","2026-04-25T07:20:56.000000Z",{"title":58,"slug":63},{"image":133,"image_webp":134,"thumb":135,"thumb_webp":136},"https://cdn.quasa.io/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.jpg","https://cdn.quasa.io/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.webp",64,{"title":139,"description":140,"slug":141,"created_at":142,"publish_at":143,"formatted_created_at":104,"category":144,"links":145,"view_type":86,"video_url":87,"views":150,"likes":89,"lang":90,"comments_count":89,"is_pinned":112},"AI Office Warfare in China: Employees Train AI to Replace Colleagues — Then Fight Back with Sabotage Tools","In Chinese tech companies, a quiet but ruthless corporate war has broken out — and artificial intelligence has become the ultimate weapon in office politics.","ai-office-warfare-in-china-employees-train-ai-to-replace-colleagues-then-fight-back-with-sabotage-tools","2026-04-22T07:22:47.000000Z","2026-04-25T06:14:00.000000Z",{"title":19,"slug":20},{"image":146,"image_webp":147,"thumb":148,"thumb_webp":149},"https://cdn.quasa.io/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.jpg","https://cdn.quasa.io/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.webp",72,{"title":152,"description":153,"slug":154,"created_at":155,"publish_at":156,"formatted_created_at":104,"category":157,"links":158,"view_type":86,"video_url":87,"views":163,"likes":89,"lang":90,"comments_count":89,"is_pinned":112},"China Just Gamified School with Digital Pets — And Kids Are Begging for More Homework","China has gamified school with digital pets — and students are loving it.In a creative twist on traditional classroom motivation, a teacher in eastern China has turned homework and good behavior into a real-life Tamagotchi experience. Instead of nagging students to study, she lets them care for virtual companions that thrive only when the kids do their work.","china-just-gamified-school-with-digital-pets-and-kids-are-begging-for-more-homework","2026-04-22T07:09:46.000000Z","2026-04-25T03:58:00.000000Z",{"title":58,"slug":63},{"image":159,"image_webp":160,"thumb":161,"thumb_webp":162},"https://cdn.quasa.io/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.jpg","https://cdn.quasa.io/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.webp",82,[165,178,194,206,221],{"title":166,"description":167,"slug":168,"created_at":169,"publish_at":170,"formatted_created_at":171,"category":172,"links":173,"view_type":86,"video_url":87,"views":176,"likes":177,"lang":90,"comments_count":89,"is_pinned":112},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":174,"image_webp":87,"thumb":175,"thumb_webp":175},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",71602,2,{"title":179,"description":180,"slug":181,"created_at":182,"publish_at":183,"formatted_created_at":184,"category":185,"links":186,"view_type":191,"video_url":87,"views":192,"likes":193,"lang":90,"comments_count":89,"is_pinned":112},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":187,"image_webp":188,"thumb":189,"thumb_webp":190},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",71379,4,{"title":195,"description":196,"slug":197,"created_at":198,"publish_at":199,"formatted_created_at":200,"category":201,"links":202,"view_type":86,"video_url":87,"views":205,"likes":193,"lang":90,"comments_count":89,"is_pinned":112},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":203,"image_webp":87,"thumb":204,"thumb_webp":204},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",68986,{"title":207,"description":208,"slug":209,"created_at":210,"publish_at":211,"formatted_created_at":212,"category":213,"links":214,"view_type":86,"video_url":87,"views":219,"likes":177,"lang":90,"comments_count":220,"is_pinned":112},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":215,"image_webp":216,"thumb":217,"thumb_webp":218},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",42913,1,{"title":222,"description":223,"slug":224,"created_at":225,"publish_at":226,"formatted_created_at":227,"category":228,"links":229,"view_type":191,"video_url":87,"views":234,"likes":177,"lang":90,"comments_count":89,"is_pinned":112},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":230,"image_webp":231,"thumb":232,"thumb_webp":233},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41948,[236,237,238,239,240,241,242,243,244,245,246,247,248],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]