Connect with us
MARE BALTICUM Gaming & TECH Summit 2024

Fintech

Artificial Intelligence in Oncology Market Report 2022: Spending on AI to Surpass $110 Billion by 2024

Published

on

 

The “Artificial Intelligence in Oncology Market: Distribution by Type of Cancer, Type of End-Users and Key Geographical Regions: Industry Trends and Global Forecasts, 2022-2035” report has been added to  ResearchAndMarkets.com’s offering.

Cancer is the one of the leading cause of deaths, globally, as per the World Health Organization (WHO). Annual statistics reported by the American Cancer Society (ACR) indicate that, in 2022, around 1.9 million individuals are likely to be diagnosed with various types of cancer in the US. During the same year, around 0.6 million cancer-related deaths are anticipated to be reported in the aforementioned region. In this context, it is important to highlight that, according to the International Agency for Cancer Research, by 2030, the number of cancer-related deaths is likely to rise by 72%.

This, in turn, is expected to result in an increase of 70% in the global cancer burden, over the next two decades. Amidst the ever growing cancer burden, a number of strategies are being tested by researchers and industry players to help provide relief to the affected individuals. In recent years, artificial intelligence (AI) has emerged as a key enabler in improving the accuracy and speed of cancer diagnosis.

Specifically, AI based cancer screening has resulted in reduced mortality rates of some prevalent malignancies. One of the most successful examples includes the detection of precancerous lesions, where timely treatment was demonstrated to considerably reduce the risk of malignant tumors. Consequently, several players engaged in the healthcare sector have incorporated AI powered technologies into their regular workflow to enable the identification of affected patients, thereby, ensuring timely treatment.

Given the various advantages offered by AI technology, players engaged in the pharmaceutical domain have developed AI in oncology-based software solutions for the treatment of a myriad of oncological indications. These solutions help in interpretation and integration of huge volumes of complex data. Further, an AI system lowers the diagnostic and treatment related errors that are likely to occur in human clinical practice, thereby, resulting in reduced testing costs.

Experts believe that there has been a significant rise in the revenue generation potential within this domain. This is further supported by the significant investments being made in this market. In fact, over the past five years, close to USD 6 billion has been invested in companies engaged in the development of AI in oncology-based software solutions.

Further, the global spending on AI is forecasted to grow to more than USD 110 billion by 2024. Considering the rising popularity of such solutions in the healthcare industry and the ongoing efforts of software providers to further improve / expand their respective offerings, we believe that the AI in oncology market is likely to evolve at a steady pace, till 2030.

Key Topics Covered:

1. PREFACE

2. EXECUTIVE SUMMARY

3. INTRODUCTION

4. MARKET OVERVIEW

5. COMPANY PROFILES

6. COMPANY COMPETITIVENESS ANALYSIS

7. PATENT ANALYSIS

8. PARTNERSHIPS

9. FUNDING AND INVESTMENT ANALYSIS

10. BLUE OCEAN STRATEGY: A STRATEGIC GUIDE FOR START-UPS TO ENTER INTO HIGHLY COMPETITIVE MARKET

11. MARKET SIZING AND OPPORTUNITY ANALYSIS

12. CONCLUSION

13. EXECUTIVE INSIGHTS

14. APPENDIX 1: TABULATED DATA

15. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS

Companies Mentioned

  • 6 Dimensions Capital
  • 83North
  • 8VC
  • Affidea
  • Aidence
  • Aidoc
  • AIRA Matrix
  • Alexandria Venture Investments
  • AllianceBernstein
  • Ally Bridge Group
  • Ambra Health
  • AmCad BioMed
  • aMoon Fund
  • Amplify Partners
  • Ankur Capital
  • Apollo Hospital
  • Arterys
  • ARUP Laboratories
  • Asset Management Ventures
  • AstraZeneca
  • Athensmed
  • Atomico
  • Accelerating Technology Purposefully
  • AXA Venture Partners
  • Axilor Ventures
  • Baheya Foundation
  • Bain Capital Life Sciences
  • BankInvest
  • BEENEXT
  • Benslie Investment Group
  • BERG
  • BioAdvance
  • Biotheranostics
  • Blackford
  • Blue Pool Capital
  • Boehringer Ingelheim Venture Fund
  • Borski Fund
  • b-rayZ
  • Breyer Capital
  • BrightEdge
  • Bristol-Myers Squibb
  • British Business Bank
  • BVF Partners
  • C.L. David Foundation
  • Cambridge Capital Group
  • CancerCenter.ai
  • Canon Medical Systems
  • Capitol Health
  • Casdin Capital
  • Catalio Capital Management
  • Charles River Ventures
  • China Merchant Securities International
  • Colorectal Cancer Alliance
  • ConcertAI
  • Connect Ventures
  • Cormorant Asset Management
  • Cosmo Pharmaceuticals
  • Coutts
  • CPP Investments
  • Cornerstone Total Return Fund
  • CureMatch
  • CureMetrix
  • D.E. Shaw Research
  • D1 Capital Partners
  • Dana Farber Cancer Institute
  • Danhua Capital
  • Data Collective Venture Capital
  • Debiopharm Innovation Fund
  • Declaration Partners
  • Deep Bio
  • DeepHealth
  • DeepMind
  • Delin Ventures
  • Dell Technologies Capital
  • Densitas
  • DilenyTech
  • DocPanel
  • GenWorks Health
  • Global Ventures
  • Goldman Sachs
  • Google
  • GRAIL
  • Greycroft
  • Grove Ventures
  • Guardant Health
  • Guerbet
  • Hanfor Capital Management
  • Harmonix
  • Health Innovations
  • HealthCare Konnect
  • HealthQuest Capital
  • henQ
  • Hera-MI
  • HERAN Partners
  • Hillhouse Capital Group
  • Hina Group
  • Holland Capital
  • Hologic
  • Korea Health Industry Development Institute
  • Kinship Trust
  • KT Investment
  • Laerdal
  • LDPath
  • Legend Capital
  • Leica Biosystems
  • LEO Pharma
  • Lightpoint Medical
  • Liverpool Heart and Chest Hospital
  • Lucida Medical
  • Luminous Ventures
  • LungLife AI
  • Lunit
  • M Capital
  • Mamotest
  • Marubeni Corporation
  • MassMutual Ventures
  • Maverick Ventures
  • Median Technologies
  • Medical EarlySign
  • Medicover
  • MediPath
  • Medtronic
  • Memorial Sloan Kettering Cancer Center
  • Merck
  • Polaris Partners
  • Prodeko Ventures
  • Prognica Labs
  • Proscia
  • PSP Investments
  • Qingsong Fund
  • Qlarity Imaging
  • Quantib

Fintech

How to identify authenticity in crypto influencer channels

Published

on

 

Modern brands stake on influencer marketing, with 76% of users making a purchase after seeing a product on social media.The cryptocurrency industry is no exception to this trend. However, promoting crypto products through influencer marketing can be particularly challenging. Crypto influencers pose a significant risk to a brand’s reputation and ROI due to rampant scams. Approximately 80% of channels provide fake statistics, including followers counts and engagement metrics. Additionally, this niche is characterized by high CPMs, which can increase the risk of financial loss for brands.

In this article Nadia Bubennnikova, Head of agency Famesters, will explore the most important things to look for in crypto channels to find the perfect match for influencer marketing collaborations.

 

  1. Comments 

There are several levels related to this point.

 

LEVEL 1

Analyze approximately 10 of the channel’s latest videos, looking through the comments to ensure they are not purchased from dubious sources. For example, such comments as “Yes sir, great video!”; “Thanks!”; “Love you man!”; “Quality content”, and others most certainly are bot-generated and should be avoided.

Just to compare: 

LEVEL 2

Don’t rush to conclude that you’ve discovered the perfect crypto channel just because you’ve come across some logical comments that align with the video’s topic. This may seem controversial, but it’s important to dive deeper. When you encounter a channel with logical comments, ensure that they are unique and not duplicated under the description box. Some creators are smarter than just buying comments from the first link that Google shows you when you search “buy YouTube comments”. They generate topics, provide multiple examples, or upload lists of examples, all produced by AI. You can either manually review the comments or use a script to parse all the YouTube comments into an Excel file. Then, add a formula to highlight any duplicates.

LEVEL 3

It is also a must to check the names of the profiles that leave the comments: most of the bot-generated comments are easy to track: they will all have the usernames made of random symbols and numbers, random first and last name combinations, “Habibi”, etc. No profile pictures on all comments is also a red flag.

 

LEVEL 4

Another important factor to consider when assessing comment authenticity is the posting date. If all the comments were posted on the same day, it’s likely that the traffic was purchased.

 

2. Average views number per video

This is indeed one of the key metrics to consider when selecting an influencer for collaboration, regardless of the product type. What specific factors should we focus on?

First & foremost: the views dynamics on the channel. The most desirable type of YouTube channel in terms of views is one that maintains stable viewership across all of its videos. This stability serves as proof of an active and loyal audience genuinely interested in the creator’s content, unlike channels where views vary significantly from one video to another.

Many unauthentic crypto channels not only buy YouTube comments but also invest in increasing video views to create the impression of stability. So, what exactly should we look at in terms of views? Firstly, calculate the average number of views based on the ten latest videos. Then, compare this figure to the views of the most recent videos posted within the past week. If you notice that these new videos have nearly the same number of views as those posted a month or two ago, it’s a clear red flag. Typically, a YouTube channel experiences lower views on new videos, with the number increasing organically each day as the audience engages with the content. If you see a video posted just three days ago already garnering 30k views, matching the total views of older videos, it’s a sign of fraudulent traffic purchased to create the illusion of view stability.

 

3. Influencer’s channel statistics

The primary statistics of interest are region and demographic split, and sometimes the device types of the viewers.

LEVEL 1

When reviewing the shared statistics, the first step is to request a video screencast instead of a simple screenshot. This is because it takes more time to organically edit a video than a screenshot, making it harder to manipulate the statistics. If the creator refuses, step two (if only screenshots are provided) is to download them and check the file’s properties on your computer. Look for details such as whether it was created with Adobe Photoshop or the color profile, typically Adobe RGB, to determine if the screenshot has been edited.

LEVEL 2

After confirming the authenticity of the stats screenshot, it’s crucial to analyze the data. For instance, if you’re examining a channel conducted in Spanish with all videos filmed in the same language, it would raise concerns to find a significant audience from countries like India or Turkey. This discrepancy, where the audience doesn’t align with regions known for speaking the language, is a red flag.

If we’re considering an English-language crypto channel, it typically suggests an international audience, as English’s global use for quality educational content on niche topics like crypto. However, certain considerations apply. For instance, if an English-speaking channel shows a significant percentage of Polish viewers (15% to 30%) without any mention of the Polish language, it could indicate fake followers and views. However, if the channel’s creator is Polish, occasionally posts videos in Polish alongside English, and receives Polish comments, it’s important not to rush to conclusions.

Example of statistics

 

Wrapping up

These are the main factors to consider when selecting an influencer to promote your crypto product. Once you’ve launched the campaign, there are also some markers to show which creators did bring the authentic traffic and which used some tools to create the illusion of an active and engaged audience. While this may seem obvious, it’s still worth mentioning. After the video is posted, allow 5-7 days for it to accumulate a basic number of views, then check performance metrics such as views, clicks, click-through rate (CTR), signups, and conversion rate (CR) from clicks to signups.

If you overlooked some red flags when selecting crypto channels for your launch, you might find the following outcomes: channels with high views numbers and high CTRs, demonstrating the real interest of the audience, yet with remarkably low conversion rates. In the worst-case scenario, you might witness thousands of clicks resulting in zero to just a few signups. While this might suggest technical issues in other industries, in crypto campaigns it indicates that the creator engaged in the campaign not only bought fake views and comments but also link clicks. And this happens more often than you may realize.

Summing up, choosing the right crypto creator to promote your product is indeed a tricky job that requires a lot of resources to be put into the search process. 

Author Nadia Bubennikova, Head of agency  at Famesters

Author

Nadia Bubennikova, Head of agency at Famesters

Continue Reading

Fintech

Central banks and the FinTech sector unite to change global payments space

Published

on

central-banks-and-the-fintech-sector-unite-to-change-global-payments-space

 

The BIS, along with seven leading central banks and a cohort of private financial firms, has embarked on an ambitious venture known as Project Agorá.

Named after the Greek word for “marketplace,” this initiative stands at the forefront of exploring the potential of tokenisation to significantly enhance the operational efficiency of the monetary system worldwide.

Central to this pioneering project are the Bank of France (on behalf of the Eurosystem), the Bank of Japan, the Bank of Korea, the Bank of Mexico, the Swiss National Bank, the Bank of England, and the Federal Reserve Bank of New York. These institutions have joined forces under the banner of Project Agorá, in partnership with an extensive assembly of private financial entities convened by the Institute of International Finance (IIF).

At the heart of Project Agorá is the pursuit of integrating tokenised commercial bank deposits with tokenised wholesale central bank money within a unified, public-private programmable financial platform. By harnessing the advanced capabilities of smart contracts and programmability, the project aspires to unlock new transactional possibilities that were previously infeasible or impractical, thereby fostering novel opportunities that could benefit businesses and consumers alike.

The collaborative effort seeks to address and surmount a variety of structural inefficiencies that currently plague cross-border payments. These challenges include disparate legal, regulatory, and technical standards; varying operating hours and time zones; and the heightened complexity associated with conducting financial integrity checks (such as anti-money laundering and customer verification procedures), which are often redundantly executed across multiple stages of a single transaction due to the involvement of several intermediaries.

As a beacon of experimental and exploratory projects, the BIS Innovation Hub is committed to delivering public goods to the global central banking community through initiatives like Project Agorá. In line with this mission, the BIS will soon issue a call for expressions of interest from private financial institutions eager to contribute to this ground-breaking project. The IIF will facilitate the involvement of private sector participants, extending an invitation to regulated financial institutions representing each of the seven aforementioned currencies to partake in this transformative endeavour.

Source: fintech.globa

The post Central banks and the FinTech sector unite to change global payments space appeared first on HIPTHER Alerts.

Continue Reading

Fintech

TD Bank inks multi-year strategic partnership with Google Cloud

Published

on

td-bank-inks-multi-year-strategic-partnership-with-google-cloud

 

TD Bank has inked a multi-year deal with Google Cloud as it looks to streamline the development and deployment of new products and services.

The deal will see the Canadian banking group integrate the vendor’s cloud services into a wider portion of its technology solutions portfolio, a move which TD expects will enable it “to respond quickly to changing customer expectations by rolling out new features, updates, or entirely new financial products at an accelerated pace”.

This marks an expansion of the already established relationship between TD Bank and Google Cloud after the group previously adopted the vendor’s Google Kubernetes Engine (GKE) for TD Securities Automated Trading (TDSAT), the Chicago-based subsidiary of its investment banking unit, TD Securities.

TDSAT uses GKE for process automation and quantitative modelling across fixed income markets, resulting in the development of a “data-driven research platform” capable of processing large research workloads in trading.

Dan Bosman, SVP and CIO of TD Securities, claims the infrastructure has so far supported TDSAT with “compute-intensive quantitative analysis” while expanding the subsidiary’s “trading volumes and portfolio size”.

TD’s new partnership with Google Cloud will see the group attempt to replicate the same level of success across its entire portfolio.

Source: fintechfutures.com

The post TD Bank inks multi-year strategic partnership with Google Cloud appeared first on HIPTHER Alerts.

Continue Reading
Advertisement
Advertisement

Latest news

Trending